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#1DISFA Dataset | Papers With Code
The Denver Intensity of Spontaneous Facial Action (DISFA) dataset consists of 27 videos of 4844 frames each, with 130788 images in total.
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#2DISFA+ – Mohammad H. Mahoor, PhD
The Extended Denver Intensity of Spontaneous Facial Action Database is an extension of DISFA, a previously released and well-accepted face dataset. Extended ...
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#3(PDF) DISFA: A spontaneous facial action intensity database
PDF | Access to well-labeled recordings of facial expression is critical to progress in automated facial expression recognition. With few exceptions,.
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#4Investigating Posed and Spontaneous Facial Expressions
Extended DISFA Dataset: Investigating Posed and Spontaneous Facial. Expressions. Mohammad Mavadati, Peyten Sanger, Mohammad H. Mahoor.
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#5DISFA: A Spontaneous Facial Action Intensity Database
DISFA : A Spontaneous Facial Action Intensity Database ... Abstract: Access to well-labeled recordings of facial expression is critical to progress ...
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#6DISFA: Denver Intensity of Spontaneous Facial Actions
Denver Intensity of Spontaneous Facial Actions (DISFA) Database contains stereo videos of 27 adult subjects (12 females and 15 males) with different ...
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#7Facial Action Unit Detection Using Identity Normalization
The cascades are jointly trained by AU- and identity-annotated datasets that contain numerous ... F1-frame on the DISFA dataset with 3-fold random splits.
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#8DISFA: A Spontaneous Facial Action ... - IEEE Computer Society
To meet the need for well-annotated video of spontaneous facial expression, we created the Denver intensity of spontaneous facial action (DISFA) database.
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#9[PDF] DISFA: A Spontaneous Facial Action Intensity Database
An extension of DISFA, a previously released and well-accepted face dataset, which contains a large set of posed and spontaneous facial ...
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#10FEAFA+: An Extended Well-Annotated Dataset for ... - arXiv
The DISFA dataset [10] contains 53 facial expression sequences recorded from 27 young adults while they viewed video clips in a laboratory with ...
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#11Text-based dataset with comprehensive facial expression ...
Text-based dataset with comprehensive facial expression sentence - GitHub ... Extended DISFA Dataset: Investigating Posed and Spontaneous Facial Expressions ...
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#12Humans - Icelandic Vision Lab
DISFA (Denver Intensity of Spontaneous Facial Action) Database ... Extended DISFA Dataset: Investigating Posed and Spontaneous Facial Expressions.
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#13Seyed Mohammad Mavadati - DBLP
Extended DISFA Dataset: Investigating Posed and Spontaneous Facial Expressions. ... DISFA: A Spontaneous Facial Action Intensity Database.
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#14DISFA:Denver Intensity of Spontaneous Facial Action Database
a non-posed facial expression database for those who are interested in developing computer algorithms for automatic action unit detection and their ...
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#15Databases - Face Recognition Homepage
Here are some face data sets often used by researchers: ... Denver Intensity of Spontaneous Facial Action (DISFA) Database is a non-posed ...
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#16Recognition of affective and grammatical facial expressions
database of facial expressions in Libras. The results obtained were 0.87 ... DISFA Dataset [38] is a spontaneous database composed by videos of 27 sub-.
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#17Extended Denver Intensity of Spontaneous Facial Action ...
Summary: The Extended Denver Intensity of Spontaneous Facial Action Database is an extension of DISFA, a previously released and well-accepted face dataset.
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#18FEAFA+: An Extended Well-Annotated Dataset for ... - X-MOL
FEAFA+: An Extended Well-Annotated Dataset for Facial Expression Analysis and ... of FEAFA in combination with the relabeled DISFA database, ...
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#19Action Unit Driven Facial Expression Synthesis from a Single ...
Take the benchmark AU intensity dataset DISFA [MMB*13] as an example. One can see from Figure 2 that AU5 has the least number of frames for ...
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#20List of facial expression databases - Wikipedia
A facial expression database is a collection of images or video clips with facial ... DISFA, -, 27, 4,845 video frames, Color, 1024*768; 20 fps ...
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#21A Multi-label Convolutional Neural Network Approach to ...
DISFA dataset. However, there has been very little work in the literature on neural networks for AU recognition. Tian et al. in [35].
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#22Systematic Evaluation of Design Choices for Deep Facial ...
Cross-domain performance to DISFA dataset for intensity estimation and UNBC Pain dataset for occurrence detection and intensity estimation.
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#23Self-Supervised Learning for Facial Action Unit Recognition ...
and expression classification using multiple datasets in Section 4. ... environment like BP4D and DISFA, EmotioNet database is collected in-the-wild.
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#24Detection of mood disorder using modulation spectrum of ...
In mood disorder detection, first, facial features extracted from the DISFA database are used to train a support vector machine (SVM) for ...
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#25Discriminant Functional Learning of Color Features for the ...
AM-FED is a database of videos of facial expressions “in the wild,” while DISFA, ... ROC curves of our results on the DISFA dataset.
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#26Mohammad Mavadati - Google Scholar
Disfa : A spontaneous facial action intensity database. SM Mavadati, MH Mahoor, K Bartlett, P Trinh, JF Cohn. IEEE Transactions on Affective Computing 4 (2), 151 ...
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#27Facial Action Unit Intensity Estimation via Semantic ...
Figure 4: Distribution of the AU intensity levels in the used datasets: BP4D (left) and DISFA (right). grouping sets of closest feature maps, thus learning to ...
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#28From Emotions to Action Units with Hidden and Semi ... - UPF
datasets collected in naturalistic conditions. ... bels for large facial expression datasets are much more easy ... Finally, the DISFA dataset.
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#29Fast Adaptation of Deep Models for Facial Action Unit ...
benchmark datasets (BP4D and DISFA) for facial AU detection that the proposed approach can easily be adapted to new tasks. By using as few as one or five ...
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#30Expression empowered ResiDen network for Facial Action ...
The experiments are performed on the EmotionNet and DISFA datasets. ... Analysis of the results for cross dataset protocol shows the effectiveness of the ...
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#31Relative Facial Action Unit Detection - Carnegie Mellon ...
on three publicly available datasets (Extended Cohn-Kanade. (CK+), Bosphorus, and DISFA databases) ... DISFA database, we also used image pairs of CK+ and.
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#32Reviews: Incremental Boosting Convolutional Neural Network ...
Why was BP4D dataset not used for evaluation alongside DISFA and SEMAINE? ... of the parameter eta, does the same trend appear on the DISFA dataset.
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#33Gaussian Process Domain Experts for Modeling of Facial Affect
We evaluate the proposed model on three publicly available datasets for multi-class (MultiPIE) and multi-label (DISFA, FERA2015) facial expression analysis by ...
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#34计算机视觉数据集大全 - Part1_hwj_wayne的博客
See also: Action Recognition's dataset summary with league tables (Gall ... DISFA:Denver Intensity of Spontaneous Facial Action Database - a ...
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#35Conditional adversarial synthesis of 3D facial action units
Extensive quantitative and qualitative results on the benchmark DISFA dataset and BP4D dataset demonstrate the effectiveness of our method ...
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#36FaraPy: An Augmented Reality Feedback System for Facial ...
1 Datasets. For training and validation, we used the benchmark facial expression dataset DISFA (Denver Intensity of Spontaneous Facial Action ...
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#37Cross-dataset learning and person-specific normalisation for ...
1: Overview of the AU detection or intensity estimation pipeline. III. DATA. In our experiments, we mainly used three datasets: DISFA. [16], BP4D-Spontaneous [ ...
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#38Deep Structured Learning for Facial Action Unit Intensity ...
We show on benchmark datasets of naturalistic facial ex- ... model on the DISFA dataset when balanced batches is ac- tive and inactive. ordinal classifier.
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#39DeepFN: Towards Generalizable Facial Action Unit ... - Microsoft
dataset (∆9.4%), which were significantly reduced with the use of DeepFN. ... and dark), and datasets (BP4D and DISFA) which.
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#40A Framework for Joint Estimation and Guided Annotation of ...
... on two publicly available datasets of AU intensity (DISFA and FERA2015) that the AU cod- ... CORR of 43% on 12 AUs from DISFA dataset, with the best.
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#41Identity-based Adversarial Training of Deep CNNs for Facial ...
However, existing AU-labeled spontaneous facial expression datasets are ... DISFA: Another benchmark dataset comes from Denver Intensity of Spontaneous ...
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#42OpenFace 2.0: Facial Behavior Analysis Toolkit - NSF PAR
of experiments on different datasets very difficult. ... TABLE VI: Comparing our model to baselines on the DISFA dataset, results reported as Pearson ...
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#43EXPERTNet: Exigent Feature Preservative Network for Facial ...
capture at elective layer over MMI dataset. ... Happy c) DISFA: Disgust and d) GEMEP-FERA: Anger. ... Recognition Accuracy Comparison on DISFA Dataset.
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#44Decision Level Fusion of Domain Specific Regions for Facial ...
... on the DISFA and GEMEP-FERA datasets using two histogram-based appearance features, Local ... The DISFA dataset contains videos of 27 participants in.
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#45transferring latent task structures and its application to person ...
Data: We have used the DISFA dataset [14] and the UNBC-. McMaster Shoulder Pain Expression dataset [12] to perform our experiments.
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#46Assessing Automated Facial Action Unit Detection Systems for ...
... Spontaneous Facial Action (DISFA+) [30] included posed facial expression data from nine young adults (56% female). While this dataset had several posed ...
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#47Index of /~adin/archive/datasets/DISFA - IC/Unicamp
Index of /~adin/archive/datasets/DISFA. [ICO], Name · Last modified · Size · Description. [PARENTDIR], Parent Directory, -.
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#48Detection of Genuine and Posed Facial Expressions of Emotion
In terms of spontaneous expressions, the MPI dataset (Kaulard et al., ... Training on the DISFA database, and testing on SPOS, the method achieved an ...
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#49An accurate, real-time algorithm for the automatic annotation ...
sity of Spontaneous Facial Action (DISFA) dataset of [14], and the database of compound facial expressions of emotion. (CFEE) of [7].
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#50Measuring the intensity of spontaneous facial action units with ...
DISFA database. a b s t r a c t. Automatic facial expression analysis has received great attention in different applications over the last.
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#51Fer2013 best accuracy - Micampus Residencias
FER2013 dataset, the purpose is to get the facial expression attributes from ... 00% CNN combined with facial landmarks 2016 CMU MultiPIE, MMI CK+, DISFA, ...
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#52Ghasemi Ghaleh - QUT ePrints
posed framework on the DISFA and UNBC-McMaster Shoul- der pain datasets. 1. INTRODUCTION. Facial expression, as a unique universal language, is the most.
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#53Human and machine validation of 14 databases of dynamic ...
In Study 1, a subset of stimuli from each database (N = 162) were presented to ... DISFA: A spontaneous facial action intensity database.
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#54Exploiting Semantic Embedding and Visual Feature for Facial ...
datasets are quite small due to the labor-intensive work on. AU annotation. ... DISFA[14] is another benchmark dataset for AU detec-.
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#55Mohammad Mavadati - Google Cendekia
Disfa : A spontaneous facial action intensity database. SM Mavadati, MH Mahoor, K Bartlett, P Trinh, JF Cohn. IEEE Transactions on Affective Computing 4 (2), 151 ...
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#56Conditional Adversarial Synthesis of 3D Facial Action Units
DISFA dataset and BP4D dataset demonstrate the effectiveness of our method on 3DMM facial expression parameter synthesis and data augmentation for deep.
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#57transferring latent task structures and its application to person ...
Data: We have used the DISFA dataset [14] and the UNBC-. McMaster Shoulder Pain Expression dataset [12] to perform our experiments.
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#58arXiv:2011.01864v2 [cs.CV] 4 Nov 2020 - Adrian Bulat
stage uses another dataset of randomly chosen labeled frames to train a ... domly chosen data for both DISFA and BP4D datasets, ...
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#59Spontaneous smile intensity estimation by fusing saliency ...
7% higher on DISFA database, and also higher than all single or fusion CNN features. The effective experimental results demonstrated that the biological ...
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#60Geometry-Guided Representation Learning for Facial Action ...
The experimental results on BP4D and DISFA datasets show that G2RL achieves better or comparable perfor- mance than current state-of-the-art methods in ...
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#61人臉資料庫Face Database
3D Mask Attack Database (3DMAD) ... 10k US Adult Faces Database ... Denver Intensity of Spontaneous Facial Action (DISFA) Database.
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#62istanbul technical university 击 graduate school of science
Table 5.3 : Frequency of facial expressions in the CK+ dataset. ... evaluated on the MMI, FERA and DISFA datasets in subject-independent ...
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#63Modeling Stylized Character Expressions via Deep Learning
tasks on our collected stylized character dataset of expressions. We also ... DISFA: Denver Intensity of Spontaneous Facial Actions (DISFA) database.
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#64关键点检测、表情识别，人脸姿态等等） - denny402 - 博客园
SCface is a database of static images of human faces. ... Denver Intensity of Spontaneous Facial Action (DISFA) Database is a non-posed ...
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#65Real-Time Facial Action Unit Intensity Prediction with ...
leased (enhanced CK+ [10], DISFA dataset [11], AM-. FED dataset [6]), thus making ... of maximal intensity for AU2 in the DISFA database).
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#66Handling Data Imbalance in Automatic Facial Action Intensity ...
Multiple datasets and widely varying performance measures are used ... shown for a sequence of frames from subject 10 (DISFA dataset).
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#67Fer2013 best accuracy - Unimonica
4%), while ARCH-4 achieved the worst accuracy with the FER2013 dataset (62. ... 79% CNN architecture based on AlexNet 2017 CK+, MMI, FERA, DISFA 93.
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#68Computer Vision – ECCV 2020 Workshops: Glasgow, UK, August ...
We evaluated the proposed architectures, performing experiments with the following datasets: Extended Cohn-Kanade dataset (CK+) [32], DISFA (Denver ...
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#69MultiMedia Modeling: 26th International Conference, MMM ...
It is worth noting that the shown results are from 13 subjects of BP4D dataset and 9 subjects of DISFA dataset for testing respectively.
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#70ICT for Competitive Strategies: Proceedings of 4th ... - Google 圖書結果
DISFA dataset comprises of spontaneous expressions of subjects. Images were captured, when subjects were watching some fascinating video clips and fully ...
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#71Computer Vision – ACCV 2020: 15th Asian Conference on ...
Ours(*Disfa) refers to our method, with the self-supervised learning stage being done on the DISFA dataset. Ours(*Affwild2)-2% refers to our method, ...
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#72Neural Information Processing: 27th International ...
Comparing with VGG19 Datasets BP4D DISFA AU 6 10 12 14 17 Avg 1 2 4 5 6 9 12 15 17 20 25 26 Avg MAE VGG19 1.24 1.39 1.14 1.80 1.19 1.35 .68 .52 1.31 .16.76 ...
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#73Image and Graphics: 10th International Conference, ICIG ...
The comparison results in BP4D and DISFA datasets are shown in Figs. ... In addition, we get good quality of face image in DISFA dataset, which is shown in ...
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#74Lecture Notes in Computational Intelligence and Decision ...
4.4 Assessment of the AU Recognition Reliability Based on the Developed Model and Method The Denver Intensity of Spontaneous Facial Action (DISFA) dataset ...
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#76DEAP: A Dataset for Emotion Analysis using Physiological ...
DEAP is a freely available dataset containg EEG, peripheral physiological and audiovisual recordings made of participants as they watched a set of music ...
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#77ADFA IDS Datasets | UNSW Research
The ADFA Intrusion Detection Datasets · The ADFA Linux Dataset (ADFA-LD) · The ADFA Windows Dataset (ADFA-WD) · The ADFA Windows Dataset: Stealth Attacks Addendum ...
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#78highD Dataset - ika, RWTH Aachen University
The Highway Drone Dataset. The highD dataset is a new dataset of naturalistic vehicle trajectories recorded on German highways.
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#79inD Dataset
The inD dataset is a new dataset of naturalistic vehicle trajectories recorded at German intersections. Using a drone, typical limitations of established ...
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#80The USyd Campus Dataset - Intelligent transport systems
Dataset highlights. Since March 2018, we started collecting driving data on a weekly basis over the University of Sydney (USyd) campus and surroundings.
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#81Parent to Child (DAMI-P2C) Dataset - MIT Media Lab
Audio-visual data set containing around 21.6 hours of parent-child interaction during story reading.The DAMI-P2C dataset consists of audio-visual recordings ...
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#82Disease-Specific Faces | IEEE DataPort
Disease-Specific Faces (DSF) database is used to research the phenotype and genotype of the diseases.
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#83D2A: A Dataset Built for AI-Based Vulnerability Detection ...
The Software Engineering in Practice (SEIP) Track is the premier venue for practitioners and researchers to discuss insights, innovations, and solutions to ...
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