SOTAVerified

Action Recognition In Videos

Action Recognition in Videos is a task in computer vision and pattern recognition where the goal is to identify and categorize human actions performed in a video sequence. The task involves analyzing the spatiotemporal dynamics of the actions and mapping them to a predefined set of action classes, such as running, jumping, or swimming.

Papers

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Showing 51–100 of 124 papers

TitleStatusHype
Co-training Transformer with Videos and Images Improves Action Recognition—0
Technical Report: Disentangled Action Parsing Networks for Accurate Part-level Action Parsing—0
Class incremental learning for video action classification—0
NAS-TC: Neural Architecture Search on Temporal Convolutions for Complex Action Recognition—0
Video Transformer NetworkCode0
Temporal Difference Networks for Action Recognition—0
Towards Improving Spatiotemporal Action Recognition in VideosCode0
Developing Motion Code Embedding for Action Recognition in Videos—0
Pose And Joint-Aware Action RecognitionCode0
Toward Accurate Person-level Action Recognition in Videos of Crowded Scenes—0
Towards Efficient Coarse-to-Fine Networks for Action and Gesture Recognition—0
Self-Supervised MultiModal Versatile NetworksCode0
Dynamic Sampling Networks for Efficient Action Recognition in Videos—0
Learn to cycle: Time-consistent feature discovery for action recognitionCode0
Spatiotemporal Fusion in 3D CNNs: A Probabilistic View—0
Dynamic Inference: A New Approach Toward Efficient Video Action Recognition—0
An Information-rich Sampling Technique over Spatio-Temporal CNN for Classification of Human Actions in Videos—0
Skeleton based Activity Recognition by Fusing Part-wise Spatio-temporal and Attention Driven Residues—0
Gating Revisited: Deep Multi-layer RNNs That Can Be TrainedCode0
Deep Image-to-Video Adaptation and Fusion Networks for Action Recognition—0
MMTM: Multimodal Transfer Module for CNN FusionCode0
You Only Watch Once: A Unified CNN Architecture for Real-Time Spatiotemporal Action LocalizationCode0
Zero-Shot Action Recognition in Videos: A Survey—0
Discriminative Video Representation Learning Using Support Vector Classifiers—0
STM: SpatioTemporal and Motion Encoding for Action Recognition—0
Collaborative Spatiotemporal Feature Learning for Video Action RecognitionCode0
What Makes Training Multi-Modal Classification Networks Hard?Code0
Learning Video Representations from Correspondence ProposalsCode0
Where and when to look? Spatial-temporal attention for action recognition in videos—0
Out-of-Distribution Detection for Generalized Zero-Shot Action RecognitionCode0
Resource Efficient 3D Convolutional Neural NetworksCode0
Robust Real-Time Violence Detection in Video Using CNN And LSTMCode0
Collaborative Spatio-temporal Feature Learning for Video Action RecognitionCode0
Learning Transferable Self-attentive Representations for Action Recognition in Untrimmed Videos with Weak Supervision—0
DMC-Net: Generating Discriminative Motion Cues for Fast Compressed Video Action Recognition—0
Learning to Recognize 3D Human Action from A New Skeleton-based Representation Using Deep Convolutional Neural Networks—0
Coupled Recurrent Network (CRN)—0
Evolving Space-Time Neural Architectures for Videos—0
Representation Flow for Action RecognitionCode0
Top-down Attention Recurrent VLAD Encoding for Action Recognition in Videos—0
Temporal Sequence Distillation: Towards Few-Frame Action Recognition in Videos—0
Motion Feature Network: Fixed Motion Filter for Action Recognition—0
Skeletal Movement to Color Map: A Novel Representation for 3D Action Recognition with Inception Residual Networks—0
Pose-Based Two-Stream Relational Networks for Action Recognition in Videos—0
DenseImage Network: Video Spatial-Temporal Evolution Encoding and Understanding—0
Visual Attribute-augmented Three-dimensional Convolutional Neural Network for Enhanced Human Action Recognition—0
Video Representation Learning Using Discriminative Pooling—0
2D/3D Pose Estimation and Action Recognition using Multitask Deep LearningCode0
Learning Compact Recurrent Neural Networks with Block-Term Tensor Decomposition—0
Optical Flow Guided Feature: A Fast and Robust Motion Representation for Video Action RecognitionCode0
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All datasetsJester (Gesture Recognition)PKU-MMDUCF101Something-Something V2Kinetics 400AVA v2.2FS-Something-Something V2-FullFS-Something-Something V2-SmallSports-1MTHUMOS14ActivityNetAVA v2.1

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CPNet Res34, 5 CPVal96.7—Unverified
2STM (Resnet-50, 16 frames)Val96.7—Unverified
3MFNetVal96.68—Unverified
4DINVal95.31—Unverified
5MultiScale TRNVal95.31—Unverified
6convSTARVal92.7—Unverified
73D-SqueezeNetVal90.77—Unverified
83D-ShuffleNetV2 0.25xVal86.91—Unverified
93D-MobileNetV2 0.2xVal86.43—Unverified
#ModelMetricClaimedVerifiedStatus
1DSCNet (RGB + Pose)X-Sub97.4—Unverified
2MMNetX-Sub97.4—Unverified
3EPAM-NetX-Sub96.2—Unverified
4DVANet (RGB only)X-Sub95.8—Unverified
5TSMFX-Sub95.8—Unverified
#ModelMetricClaimedVerifiedStatus
1STM (ImageNet+Kinetics pretrain)3-fold Accuracy96.2—Unverified
23D-SqueezeNet3-fold Accuracy74.94—Unverified
33D-ShuffleNetV2 0.25x3-fold Accuracy56.52—Unverified
43D-MobileNetV2 0.2x3-fold Accuracy55.56—Unverified
5Baseline UCF1013-fold Accuracy43.9—Unverified
#ModelMetricClaimedVerifiedStatus
1STM (16 frames, ImageNet pretraining)Top-1 Accuracy64.2—Unverified
2CPNet Res34, 5 CPTop-1 Accuracy57.65—Unverified
32-Stream TRNTop-1 Accuracy55.52—Unverified
4DINTop-1 Accuracy34.11—Unverified
#ModelMetricClaimedVerifiedStatus
1FlorenceTop-1 Accuracy86.5—Unverified
2ActionCLIP (ViT-B/16)Top-1 Accuracy83.8—Unverified
3Frozen Backbone, SwinV2-G-ext22K (Video-Swin)Top-1 Accuracy81.7—Unverified
#ModelMetricClaimedVerifiedStatus
1YOWO+LFB*mAP (Val)20.2—Unverified
2VideoMAE V2mAP (Val)18.24—Unverified
#ModelMetricClaimedVerifiedStatus
1ITANetTop-1 Accuracy(5-Way-1-Shot)49.2—Unverified
2OTAM[3]++Top-1 Accuracy(5-Way-1-Shot)42.8—Unverified
#ModelMetricClaimedVerifiedStatus
1ITANetTop-1 Accuracy(5-Way-1-Shot)39.8—Unverified
2CMN[35]Top-1 Accuracy(5-Way-1-Shot)36.2—Unverified
#ModelMetricClaimedVerifiedStatus
1G-BlendVideo hit@174.8—Unverified
2LSTM +Pretrained on YT-8MVideo hit@165.7—Unverified
#ModelMetricClaimedVerifiedStatus
1Single-stream R-C3D (two-way buffer)[email protected]54.5—Unverified
2Single-stream R-C3D (one-way buffer)[email protected]51.6—Unverified
#ModelMetricClaimedVerifiedStatus
1LSTM + Pretrained on YT-8MmAP75.6—Unverified
#ModelMetricClaimedVerifiedStatus
1YOWO+LFB*mAP (Val)19.2—Unverified
#ModelMetricClaimedVerifiedStatus
1STM (ImageNet+Kinetics pretrain)Average accuracy of 3 splits72.2—Unverified
#ModelMetricClaimedVerifiedStatus
1FlorenceTop-1 Accuracy87.8—Unverified
#ModelMetricClaimedVerifiedStatus
1G-BlendClip Hit@149.7—Unverified
#ModelMetricClaimedVerifiedStatus
12D-3D-Softargmax (RGB only)Accuracy (CS)85.5—Unverified
#ModelMetricClaimedVerifiedStatus
1STM (16 frames, ImageNet pretraining)Top 1 Accuracy50.7—Unverified