SOTAVerified

Action Recognition

Action Recognition is a computer vision task that involves recognizing human actions in videos or images. The goal is to classify and categorize the actions being performed in the video or image into a predefined set of action classes.

In the video domain, it is an open question whether training an action classification network on a sufficiently large dataset, will give a similar boost in performance when applied to a different temporal task or dataset. The challenges of building video datasets has meant that most popular benchmarks for action recognition are small, having on the order of 10k videos.

Please note some benchmarks may be located in the Action Classification or Video Classification tasks, e.g. Kinetics-400.

Papers

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Showing 1701–1750 of 2759 papers

TitleStatusHype
Your head is there to move you around: Goal-driven models of the primate dorsal pathway—0
Zero-Shot Action Recognition in Surveillance Videos—0
Zero-Shot Action Recognition in Videos: A Survey—0
Zero-Shot Action Recognition With Error-Correcting Output Codes—0
Zero-Shot Activity Recognition with Videos—0
Training-Free Action Recognition and Goal Inference with Dynamic Frame Selection—0
Zero-Shot Skeleton-based Action Recognition with Dual Visual-Text Alignment—0
0/1 Deep Neural Networks via Block Coordinate Descent—0
Zero-Shot Visual Recognition via Bidirectional Latent Embedding—0
10,000+ Times Accelerated Robust Subset Selection (ARSS)—0
How Much Does Audio Matter to Recognize Egocentric Object Interactions?—0
Action recognition with spatial-temporal discriminative filter banks—0
Learning Coupled Spatial-temporal Attention for Skeleton-based Action Recognition—0
Signal-SGN: A Spiking Graph Convolutional Network for Skeletal Action Recognition via Learning Temporal-Frequency Dynamics—0
MultiFuser: Multimodal Fusion Transformer for Enhanced Driver Action Recognition—0
Enhancing Human Action Recognition and Violence Detection Through Deep Learning Audiovisual Fusion—0
Prototype Learning for Micro-gesture Classification—0
2D bidirectional gated recurrent unit convolutional Neural networks for end-to-end violence detection In videos—0
2D or not 2D? Adaptive 3D Convolution Selection for Efficient Video Recognition—0
2D versus 3D Convolutional Spiking Neural Networks Trained with Unsupervised STDP for Human Action Recognition—0
2nd Place Scheme on Action Recognition Track of ECCV 2020 VIPriors Challenges: An Efficient Optical Flow Stream Guided Framework—0
3D Action Recognition From Novel Viewpoints—0
3D Convolutional Networks for Action Recognition: Application to Sport Gesture Recognition—0
3D Convolutional Neural Networks for Ultrasound-Based Silent Speech Interfaces—0
3D Convolutional with Attention for Action Recognition—0
3DFCNN: Real-Time Action Recognition using 3D Deep Neural Networks with Raw Depth Information—0
3D Human Action Recognition with Siamese-LSTM Based Deep Metric Learning—0
3D Human motion anticipation and classification—0
3d human motion generation from the text via gesture action classification and the autoregressive model—0
3D Human Pose Estimation in Multi-View Operating Room Videos Using Differentiable Camera Projections—0
3DPalsyNet: A Facial Palsy Grading and Motion Recognition Framework using Fully 3D Convolutional Neural Networks—0
3D ResNet with Ranking Loss Function for Abnormal Activity Detection in Videos—0
3D R Transform on Spatio-temporal Interest Points for Action Recognition—0
3D Skeleton-Based Action Recognition: A Review—0
3D Skeleton-based Few-shot Action Recognition with JEANIE is not so Naïve—0
3Mformer: Multi-order Multi-mode Transformer for Skeletal Action Recognition—0
A^2-Nets: Double Attention Networks—0
A3D: Adaptive 3D Networks for Video Action Recognition—0
A Baseline Framework for Part-level Action Parsing and Action Recognition—0
A baseline on continual learning methods for video action recognition—0
A Better Baseline for AVA—0
A Cause and Effect Analysis of Motion Trajectories for Modeling Actions—0
Accuracy and Performance Comparison of Video Action Recognition Approaches—0
A Compact Kernel Approximation for 3D Action Recognition—0
A compact sequence encoding scheme for online human activity recognition in HRI applications—0
A Comprehensive Review of Few-shot Action Recognition—0
A Comprehensive Survey on Architectural Advances in Deep CNNs: Challenges, Applications, and Emerging Research Directions—0
A Cross-Dataset Study for Text-based 3D Human Motion Retrieval—0
ActAR: Actor-Driven Pose Embeddings for Video Action Recognition—0
Action2Activity: Recognizing Complex Activities from Sensor Data—0
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All datasetsSomething-Something V2UCF101HMDB-51Something-Something V1AVA v2.2EPIC-KITCHENS-100NTU RGB+DNTU RGB+D 120Diving-48ActivityNetAVA v2.1H2O (2 Hands and Objects)

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1MViTv2-B (IN-21K + Kinetics400 pretrain)Top-5 Accuracy93.4—Unverified
2RSANet-R50 (8+16 frames, ImageNet pretrained, 2 clips)Top-5 Accuracy91.1—Unverified
3MVD (Kinetics400 pretrain, ViT-H, 16 frame)Top-1 Accuracy77.3—Unverified
4InternVideoTop-1 Accuracy77.2—Unverified
5DejaVidTop-1 Accuracy77.2—Unverified
6InternVideo2-1BTop-1 Accuracy77.1—Unverified
7VideoMAE V2-gTop-1 Accuracy77—Unverified
8MVD (Kinetics400 pretrain, ViT-L, 16 frame)Top-1 Accuracy76.7—Unverified
9Hiera-L (no extra data)Top-1 Accuracy76.5—Unverified
10TubeViT-LTop-1 Accuracy76.1—Unverified
#ModelMetricClaimedVerifiedStatus
1FTP-UniFormerV2-L/143-fold Accuracy99.7—Unverified
2OmniVec23-fold Accuracy99.6—Unverified
3OmniVec3-fold Accuracy99.6—Unverified
4VideoMAE V2-g3-fold Accuracy99.6—Unverified
5BIKE3-fold Accuracy98.8—Unverified
6SMART3-fold Accuracy98.64—Unverified
7ZeroI2V ViT-L/143-fold Accuracy98.6—Unverified
8OmniSource (SlowOnly-8x8-R101-RGB + I3D-Flow)3-fold Accuracy98.6—Unverified
9PERF-Net (multi-distilled S3D)3-fold Accuracy98.6—Unverified
10Text4Vis3-fold Accuracy98.2—Unverified