雖然這篇Sports-1M dataset鄉民發文沒有被收入到精華區：在Sports-1M dataset這個話題中，我們另外找到其它相關的精選爆讚文章
[爆卦]Sports-1M dataset是什麼？優點缺點精華區懶人包
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#1Sports-1M Dataset | Papers With Code
The Sports-1M dataset consists of over a million videos from YouTube. The videos in the dataset can be obtained through the YouTube URL specified by the ...
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#2Large-scale Video Classification with Convolutional Neural ...
Sports -1M Dataset. The Sports-1M dataset is licensed under Creative Commons 3.0 and contains 1,133,158 video URLs which have been annotated automatically with ...
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#3ReadME - GitHub
Automatically exported from code.google.com/p/sports-1m-dataset - GitHub - gtoderici/sports-1m-dataset: Automatically exported from ...
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#4Sports-1M数据集 - CSDN博客
... Sukthankar和Li Fei-Fei）sports1m: 1百万videos， 487 classes下载地址https://github.com/gtoderici/sports-1m-dataset.git柏林情感语音数据库.
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#5The Sports-1M Dataset - Google Code
The Sports-1M Dataset ... Academic dataset that accompanies the paper "Large-scale Video Classification with Convolutional Neural Networks." ( ...
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#6Sports-1M Dataset | DeepAI
DOWNLOAD Sports-1M. wget https://data.deepai.org/sports1m.zip. Weblinks to 1M+ YouTube videos annotated with ~ ...
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#7Example frames from Sports-1M dataset [51]. - ResearchGate
Download scientific diagram | Example frames from Sports-1M dataset [51]. from publication: Computer vision for sports: Current applications and research ...
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#8Sports Video Classifier - IBM Developer
This model recognizes the 487 different classes of sports activities in the Sports-1M Dataset. The model consists of a deep 3-D ...
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#9Deep Networks-based Video Classification Methods
Training is performed on the Sports 1M-dataset (50 random frames per video); testing is done on both the Sports-1M as well as UCF-101 datasets. Training data.
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#10Sports 1M | Bifrost Data Search
The Sports-1M dataset is licensed under Creative Commons 3.0 and contains 1133158 video URLs which have been annotated automatically with 487 Sports labels ...
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#11Sports-1M Dataset - Index — OpenCV 3.0.0-dev documentation
Note. Usage. From link above download dataset files (git clone https://code.google.com/p/sports-1m-dataset/). To load data run: .
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#12gtoderici sports-1m-dataset Issues - Giters
gtoderici sports-1m-dataset: Automatically exported from code.google.com/p/sports-1m-dataset.
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#13sports-1m-dataset - githubmemory
Automatically exported from code.google.com/p/sports-1m-dataset. dongzeyang Updated 5 years ago. fork time in 2 weeks ago. started.
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#14Attention Boosted Deep Networks for Video Classification
Experiment: Datasets. UCF-101 action recognition dataset. 13,320 videos with 101 categories. Subset of Sports-1M dataset. (Sports-1M-99).
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#15Action Recognition based on Efficient Deep Feature Learning ...
the statistics of datasets can be considerably different, and a ... model is trained on the Sports-1M dataset [31] which contains.
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#16Sports-10K and TV Series-1M Video Datasets - CVIT, IIIT ...
We introduce two large video datasets namely Sports-10K and TV series-1M to demonstrate scene text retrieval in the context of video sequences.
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#17Large-scale Video Classification with Convolutional Neural
To obtain suffi- cient amount of data needed to train our CNN architectures, we collected a new Sports-1M dataset, which consists of 1 million YouTube videos ...
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#18Sports-1M数据集
Sports -1M Dataset ... 来自YouTube 收集的运动视频数据集;用于CNN视频分类训练的数据集。 下载所需积分： 免积分下载.
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#19arXiv:1711.10305v1 [cs.CV] 28 Nov 2017
Our P3D ResNet achieves clear improvements on Sports-1M video classifica- tion dataset against 3D CNN and frame-based 2D CNN by. 5.3% and 1.8%, ...
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#20C3D: Generic Features for Video Analysis - Visual Learning ...
Sport classification using C3D on Sports-1M dataset. Video frames are visualized with top 2 predictions.
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#21Download the dataset - Google Groups
to Sports 1M Dataset. Hi all, Do we have a tool to download Sports-1M videos dataset? Best regards, @An. Message has been deleted. Ce Li's profile photo ...
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#22使用youtube-dl下載視訊及Sport-1M Datesets - IT閱讀
git clone https://github.com/gtoderici/sports-1m-dataset.git. 檢視裡面只給了相關視訊的URL，不像UCF-101給了包含相關視訊的資料集。
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#23Dynamic Network Quantization for Efficient Video Inference ...
nition benchmark datasets, namely ActivityNet-v1.3 [1],. FCVID [4], Mini-Sports1M [5] and Mini-Kinetics [2]. Be- ... com/gtoderici/sports-1m-dataset.
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#24Sports-1M数据集 - 码农家园
Sports -1M 体育视频分类数据集，包含487类和1.2Million影片（Andrej Karpathy和George ... https://github.com/gtoderici/sports-1m-dataset.git.
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#25Learning Spatiotemporal Features with 3D ... - arXiv Vanity
[18] trained deep networks on a large video dataset for video classification. ... To learn spatiotemproal features, we train our C3D on Sports-1M dataset ...
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#26Memory-based embedding for video action recognition - MIPAL
on action recognition datasets, achieving state-of-the-art results. ... needs Sports-1M dataset [3] which includes over 1 million videos to be optimized.
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#28PowerPoint プレゼンテーション - ChaLearn
is greatly improved using large-scale video datasets. ... pre-trained on the Sports-1M dataset ** testing on the test set. Method. Input Size.
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#29Video classification using compacted dataset based on ...
several frames. As a result, the best accuracy of the system is 60.9% on Sport-1M dataset and 65.4% (3-fold accuracy) on UCF101 dataset. Varadarajan et. al.
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#30Large-scale Video Classification with ... - Semantic Scholar
Current video datasets lack variety and number of videos to train a CNN: ... Sports-1M dataset : 1.1 million videos, 487 classes (new!) Dataset ...
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#31Big Data and Deep Learning-Based Video Classification ...
The research on the sports video high-precision classification model in this ... publicly available sports video datasets, such as the Sport-1M dataset, ...
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#32Deep Learning Architectures for Action Recognition - Towards ...
Table 1 — Results on the 200,000 videos of the Sports-1M test set. ... For a single 3D convolution neural network trained for the UCF101 dataset can have ...
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#33Transfer learning for the classification of video-recorded crowd ...
Convolutional Networks (C3D) architecture [12], which was pre-trained on the Sports-1m dataset and then fine-tuned on the same dataset.
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#34[DAY08]好模型來自好的資料集!找到最適合你的行為資料集!
有些資料庫會依據特定的主題，例如:Sports-1M就是以運動為主題如果說你適用的場景是 ... 然而找行為資料庫，並不如直觀的使用"action dataset"或"action recognition ...
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#35Video Dataset Overview - DI ENS
Dataset Type #Videos Annotation Ty... Sports‑1M The YouTube Sports‑1M Dataset Sports 1100000 pre‑defined cl... 20BN‑JESTER Human Hand Gestures Dataset Hand Gestures 148000 pre‑defined cl... LSMDC Large‑Scale Movie Understanding Dataset Movie clips 118000 text
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#36Deep Learning for Video Classification: A Review - TechRxiv
frames yield the highest performance measure for Sports-1M benchmark dataset. (vii) Augmenting optical flow and RGB input helps in improving the performance ...
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#37Spatio-Temporal Channel Correlation Networks for Action ...
large video datasets, e.g. Sports-1M, and fine-tuned on the target datasets, e.g.. HMDB51/UCF101. 1. 1 Introduction. Compelling advantages of exploiting ...
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#38Action Recognition - OpenCV documentation
Implements loading dataset: "Sports-1M Dataset": http://cs.stanford.edu/people/karpathy/deepvideo/. Usage: From link above download dataset files ( git ...
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#39Video Classification Papers that try to improve performance on ...
Another benchmark dataset for video classification. Significantly smaller than Sports 1M. Model Training. Both models are trained on Sports 1M dataset from ...
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#40Efficient Large Scale Video Classification - Google Research
We present results on the Sports-1M video dataset (1 million videos, 487 classes) and on a new dataset which has 12 million videos and 150,000 labels.
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#41Categorizing Big Video Data on the Web: Challenges and ...
niques and benchmark datasets in the area of Web video categorization. For a more comprehensive ... 6) Sports-1M Dataset: The Sports-1M [14] dataset was.
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#42Video Classification using CNNs. Convolutional Neural ...
The Sports-1M dataset used has a hierarchical output space which tends to point to the fact that the model predicts the classes as related ...
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#43Large-Scale Training Framework for Video Annotation
performance on YouTube-8M and Sports-1M datasets. • We demonstrate that our proposed framework and model is scalable to train on 500M videos with over 16K ...
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#44Sports-1M - 程序员秘密
... 类和1.2Million影片（Andrej Karpathy和George Toderici，Sanketh Shetty，Thomas ...https://github.com/gtoderici/sports-1m-dataset.git 柏林情感语音数据库.
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#45List Segment - API - Graviti Open Datasets/Sports 1M - Graviti
List Segment - API - Graviti Open Datasets/Sports 1M. ... Get Segment list of a Dataset ... You do not have the access to view the dataset, 403.
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#46An Overview of Human Action and Activity Recognition in Sports
Sport datasets. For HAR in sport domain there are three popular public action datasets: UCF Sports Action Data Set. [8], Sports-1M Dataset ...
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#47Fairer Evaluation of Zero Shot Action Recognition in Videos
dataset to also be used as classes in the ZSL testing. (supposed to be unseen) classes. ... datasets: Sports-1M for C3D, and Kinetics-400 for.
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#48使用youtube-dl下载视频及Sport-1M Datesets - 代码天地
最近使用到了Sports-1M数据集，但是从github上git clone https://github.com/gtoderici/sports-1m-dataset.git 查看里面只给了相关视频的URL， ...
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#50Learning Spatiotemporal Features With 3D Convolutional ...
Dataset. To learn spatiotemproal features, we train our C3D on Sports-1M dataset [18] which is currently the largest video classification benchmark.
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#51Human Activity Recognition in Untrimmed Video using Deep ...
use video analysis to focus on any variances in human activity in sport specially in competition ... example of a sports game, approach, algorithm, dataset.
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#52Large-scale Video Classification with Convolutional Neural ...
We make Sports-1M available to the re- est improvement compared to ... The Sports-1M dataset consists of 1 million YouTube videos annotated with 487 classes ...
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#53Visual guided deep learning scheme for fall detection - IEEE ...
Sports dataset Sports -1M with no fall examples is employed to train the 3D CNN and the visual attention model is trained on the small Multiple Cameras Fall ...
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#54”Sports-1M“ 的搜索结果 - 程序员ITS304
Spatio temporally Action Detection Location 系列(1) :AVA Dataset And Action ... 在UCF101上训练3DConvNet需要3到4天，而在Sports-1M上训练3DConvNet则需要2个月， ...
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#55Large-scale weakly-supervised pre-training for video action ...
train on benchmark datasets such as Sports-1M [39], Kinet- ics [65] as competitive baselines. Evaluation Setup: As in [47], we consider two scenarios:.
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#56Video Activity Recognition: State-of-the-Art - MDPI
DATASET. Karpathy et al. [110]. 2014. Use of different connectivity patterns for CNNs: early fusion, late fusion and slow fusion. Sports-1M.
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#57Transfer Learning of Temporal Information for Driver Action ...
We used a pretrained 3CD on the sports 1-M dataset, included the architecture, and trained weights for e Sports-1M dataset in a. GitHub repository as a 3D CNN.
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#58Large-scale Video Classification with Convolutional Neural ...
On the UCF-101 dataset, by reusing the low-level features that have been learned on the Sports-1M dataset, it is more obvious than training the entire ...
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#59Learning Spatio-Temporal Representation with Pseudo-3D ...
achieves clear improvements on Sports-1M video classifica- tion dataset against 3D CNN and frame-based 2D CNN by. 5.3% and 1.8%, respectively.
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#60Action Prediction from Videos via Memorizing Hard-to-Predict ...
UCF-101 and Sports-1M datasets show that our method out- performs state-of-the-art methods. Action prediction is receiving increasing interests in recent.
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#61Action Recognition in Videos: Data-efficient approaches for ...
Although trained on the very large Sports-1M dataset, their 3D networks performed only marginally better than single-frame models. To overcome the dif-.
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#62Deep Multi-Kernel Convolutional LSTM Networks and an ...
a supervised classification setting on the UCF-101 and Sports-. 1M datasets, with the findings showing that our enhancements improve accuracy.
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#63Beyond Short Snippets: Deep Networks for Video Classification
Currently, these two architectures are the top performers on the Sports-1M dataset. The main difference between the two was that the RNN ...
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#64Analysis of Deep Learning Architectures for Human Action ...
Sports1M, the dataset suffers of the same problems and it has a number of frames higher then average. In May 2017, a new dataset has been released [25].
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#65Scenes-Objects-Actions: A Multi-Task, Multi-Label Video Dataset
Datasets such as Sports1M [18], Kinetics [19] and AVA [27] were recently introduced to fill this gap and they have already led to the development of a new ...
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#66Video Analysis - TUM Wiki
... for action recognition can be found within the C3D project of Tran et al., which perform sports classification on the Sports-1M dataset.
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#67Hakan Bilen Machine Learning Practical
Datasets – Sports-1M. ○ 1,133,158 videos from YouTube. ○ 487 sport categories. ○ Automatically labelled by analyzing the text metadata.
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#68gtoderici/sports-1m-dataset - Github Repositories Trend
Automatically exported from code.google.com/p/sports-1m-dataset.
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#69Classifying sport videos with deep neural networks - DiVA
on sport clips but can be expanded into other advertisement fields with lower ... Sports-1M-dataset when an LSTM module was added to the ...
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#70Temporal Localization - with 3D Convolutions - cs.Princeton
Dataset 2015/2016 ... 2. Also fine-tuned from net pre-trained on I380K (internal dataset) ... Evaluation: Sports-1M classification results ...
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#71Large-scale Video Classification with Convolutional Neural ...
YouTube Sports-1M dataset. Problem : modeling perspective: what temporal connectivity pattern in a CNN architecture is best at taking ...
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#72Gate-Shift Networks for Video Action Recognition
due to the lack of sufficiently large datasets for training ... ter than R(2+1)D model pre-trained on Sports-1M dataset, suggesting that GSM can also ...
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#73Datasets - MOVING project
Description: A large-scale lecture video dataset consisting of ... 1) For the 487 concepts for the Sports-1M Dataset, a Googlenet network [4] originally ...
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#74university of california, san diego - eScholarship
videos and 487 different sports classes. The model is trained on this Sports-1M dataset. It achieves an accuracy of 63.9% (top-1 prediction) and 82.4% ...
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#75Large-scale Video Classification with | Manualzz
Sports -1M dataset : 1.1 million videos, 487 classes (new!) Models. Baseline CNN. Krizhevsky et al. '12. Baseline CNN. Fully-Connected. Fully-Connected. Max ...
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#769 Video Action Recognition
authors of research article on Kinetics video dataset and the model they developed to choose the title for the research work. Prior to Kinetics,. Sports-1M ...
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#77Video-based human action recognition using deep learning
[95] studied the performance of CNNs by trying to predict and clas- sify on Sports-1M [10] dataset which consists of more than one million sport videos. A ...
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#78Large-Scale Training Framework for Video Annotation - ACM ...
We demonstrate that the proposed framework is able to reach state-of-the-art performance on the largest public video datasets, YouTube-8M and Sports-1M, and can.
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#79A Large Scale Multi-Label Action Dataset for Video ...
label extension to the Moments in Time Dataset which includes annotation of multiple actions ... like Sports-1M [2], ActivityNet [1], Kinetics [3], and Mo-.
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#80Large-scale video processing with neural networks - Packt ...
... image datasets as videos are significantly more challenging to collect, ... to train our CNN architectures, authors collected a new Sports-1M dataset.
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#813D U-net with Multi-level Deep Supervision - OpenReview
The. Sports-1M dataset consists of 1.1 million sports videos, and each video belongs to one of 487 sports categories. In our experiment, C3D pre-trained model ...
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#82Other datasets - Deep Learning for Computer Vision [Book]
Other datasets There are some more datasets available for video classification problems. Here are the details of a few more datasets: Sports-1M (Sports - 1 ...
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#83Video Analysis by Deep Learning - D-Scholarship@Pitt
... 91% and 94% when processing only 10 to 300 video frames, respectively, of the test videos on a subset of the YouTube Sports-1M dataset.
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#84DeepVP: Deep Learning for Vanishing Point Detection on 1 ...
[34] collected a sports-1M video dataset with. 487 classes of sports, and used CNN to learn spatio-temporal information from video clips to classify videos ...
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#85Homepage of Vasileios Mezaris
We provide a benchmark dataset for video cropping: annotations (i.e., ground-truth ... sets (487 sports-related concepts of the YouTube Sports-1M Dataset, ...
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#86Long-term Temporal Convolutions for Action Recognition
training datasets [8,9], CNNs have quickly taken over the majority of still-image ... network on the large-scale Sports-1M dataset in [13], ...
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#87WHP 347 - BBC
Computer Vision for Sports: Current applications and research topics. Graham Thomas (BBC), Rikke Gade ... grained level, e.g., the Sports-1M Dataset.
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#88A Sparsely Labeled Dataset for Action Classification and ...
Annotation. Source. Localization. 13K. Youtube. No. 7K. No. Youtube/Movie. Kinetics. 400. 305K. 305K. No. Youtube. 487. 1.1M. 1.1M. No. Youtube. Sports1M ...
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#89Regularizing Long Short Term Memory with 3D Human ...
Sports -1M dataset with 487 action classes [16]) which may ... skeleton sequences form a small-size training dataset that is insufficient for robust deep ...
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#90谷歌發布YouTube-8M：單個GPU一天就能完成訓練的最大視頻 ...
比如說，我們所知的之前最大的視頻數據集Sports-1M 包含了大約100 萬段YouTube 視頻和500 個體育領域的 ... 下圖描述了其數據瀏覽器（dataset ...
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#91Deep Learning for Semantic Video Understanding - CORE
The Slow Fusion architecture outperformed the other fusion mechanism for action classification on Sports-1M 14 dataset. Karpathy et al. [1] states that stacking ...
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#92Self-Supervised Video Representation Learning by Recurrent ...
Most methods in deep learning rely on large datasets like ImageNet or ... The Sports 1M dataset contains nearly 1,133,158 video samples (~ 1M).
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#93Deep Learning for Videos: A 2018 Guide to Action Recognition
No standard benchmark The most popular and benchmark datasets have been UCF101 and Sports1M for a long time. Searching for reasonable ...
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#94Temporal Coherency based Criteria for Predicting Video ...
with the traditional L1 loss, has been experimented with three real-world video datasets viz. Sports-1M, UCF-101 and the KITTI. Performance analysis reveals.
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#95Vision Based Activity Recognition Using Machine Learning ...
Sports 1M : This dataset [90]consists of 1 million Youtube videos annotated with 487 sports-related classes where each class has around 1000-3000 videos per ...
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#96video classification dataset
I have taken 5 classes from sports 1M dataset like unicycling, marshal arts, dog agility, jetsprint and clay pigeon shooting. CVPR'08.
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#97Human Activity Recogniton using Machine Learning – IJERT
With the use of different datasets like UCF-101, HMDB-51, Hollywood2, Sports-1M and training them this task of recognition of activity can be efficiently ...
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#98Predicting Shot Success in Basketball using Deep Learning
field of sports, hardly the shot success is predicted in a ball game. For instance, Tran et al. (2015) worked on Sports-1M dataset to ...