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

Showing 801850 of 2759 papers

TitleStatusHype
Better Exploiting Motion for Better Action Recognition0
Ego-Only: Egocentric Action Detection without Exocentric Transferring0
Action Recognition based Industrial Safety Violation Detection0
EgoSim: An Egocentric Multi-view Simulator and Real Dataset for Body-worn Cameras during Motion and Activity0
Fitting, Comparison, and Alignment of Trajectories on Positive Semi-Definite Matrices with Application to Action Recognition0
Ego-Vehicle Action Recognition based on Semi-Supervised Contrastive Learning0
Efficient Action Recognition Using Confidence Distillation0
EgoViT: Pyramid Video Transformer for Egocentric Action Recognition0
Efficient Action Localization with Approximately Normalized Fisher Vectors0
Eigen Evolution Pooling for Human Action Recognition0
EITNet: An IoT-Enhanced Framework for Real-Time Basketball Action Recognition0
Efficient Action Detection in Untrimmed Videos via Multi-Task Learning0
Elastic Functional Coding of Human Actions: From Vector-Fields to Latent Variables0
ElderSim: A Synthetic Data Generation Platform for Human Action Recognition in Eldercare Applications0
Benchmarking Sensitivity of Continual Graph Learning for Skeleton-Based Action Recognition0
EleAtt-RNN: Adding Attentiveness to Neurons in Recurrent Neural Networks0
AE-Net:Adjoint Enhancement Network for Efficient Action Recognition in Video Understanding0
Else-Net: Elastic Semantic Network for Continual Action Recognition From Skeleton Data0
First Person Action Recognition Using Deep Learned Descriptors0
Emotion-Based Crowd Representation for Abnormality Detection0
Emotion Recognition from the perspective of Activity Recognition0
Effective Action Recognition with Embedded Key Point Shifts0
EdgeOAR: Real-time Online Action Recognition On Edge Devices0
End-to-End Joint Semantic Segmentation of Actors and Actions in Video0
Benchmarking Conventional Vision Models on Neuromorphic Fall Detection and Action Recognition Dataset0
Action Recognition and State Change Prediction in a Recipe Understanding Task Using a Lightweight Neural Network Model0
Enhancing Human Action Recognition and Violence Detection Through Deep Learning Audiovisual Fusion0
Body Joint guided 3D Deep Convolutional Descriptors for Action Recognition0
Energy-based Periodicity Mining with Deep Features for Action Repetition Counting in Unconstrained Videos0
Enhanced skeleton visualization for view invariant human action recognition0
Enhanced Spatiotemporal Prediction Using Physical-guided And Frequency-enhanced Recurrent Neural Networks0
Boosting Adversarial Transferability for Skeleton-based Action Recognition via Exploring the Model Posterior Space0
Enhancing Action Recognition from Low-Quality Skeleton Data via Part-Level Knowledge Distillation0
A Key Volume Mining Deep Framework for Action Recognition0
First-Take-All: Temporal Order-Preserving Hashing for 3D Action Videos0
Flatten: Video Action Recognition is an Image Classification task0
Enhancing Video Transformers for Action Understanding with VLM-aided Training0
Enhancing Video Understanding: Deep Neural Networks for Spatiotemporal Analysis0
Focalized Contrastive View-invariant Learning for Self-supervised Skeleton-based Action Recognition0
Free-Form Composition Networks for Egocentric Action Recognition0
BQN: Busy-Quiet Net Enabled by Motion Band-Pass Module for Action Recognition0
Ensemble One-dimensional Convolution Neural Networks for Skeleton-based Action Recognition0
FSD-10: A Dataset for Competitive Sports Content Analysis0
GeoDeformer: Geometric Deformable Transformer for Action Recognition0
Behavior Recognition Based on the Integration of Multigranular Motion Features0
Bregman Divergences for Infinite Dimensional Covariance Matrices0
EA-VTR: Event-Aware Video-Text Retrieval0
EPIC-KITCHENS-100 Unsupervised Domain Adaptation Challenge for Action Recognition 2022: Team HNU-FPV Technical Report0
AdvIT: Adversarial Frames Identifier Based on Temporal Consistency in Videos0
Early Action Recognition with Action Prototypes0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1MViTv2-B (IN-21K + Kinetics400 pretrain)Top-5 Accuracy93.4Unverified
2RSANet-R50 (8+16 frames, ImageNet pretrained, 2 clips)Top-5 Accuracy91.1Unverified
3MVD (Kinetics400 pretrain, ViT-H, 16 frame)Top-1 Accuracy77.3Unverified
4DejaVidTop-1 Accuracy77.2Unverified
5InternVideoTop-1 Accuracy77.2Unverified
6InternVideo2-1BTop-1 Accuracy77.1Unverified
7VideoMAE V2-gTop-1 Accuracy77Unverified
8MVD (Kinetics400 pretrain, ViT-L, 16 frame)Top-1 Accuracy76.7Unverified
9Hiera-L (no extra data)Top-1 Accuracy76.5Unverified
10TubeViT-LTop-1 Accuracy76.1Unverified
#ModelMetricClaimedVerifiedStatus
1FTP-UniFormerV2-L/143-fold Accuracy99.7Unverified
2OmniVec23-fold Accuracy99.6Unverified
3VideoMAE V2-g3-fold Accuracy99.6Unverified
4OmniVec3-fold Accuracy99.6Unverified
5BIKE3-fold Accuracy98.8Unverified
6SMART3-fold Accuracy98.64Unverified
7OmniSource (SlowOnly-8x8-R101-RGB + I3D-Flow)3-fold Accuracy98.6Unverified
8PERF-Net (multi-distilled S3D)3-fold Accuracy98.6Unverified
9ZeroI2V ViT-L/143-fold Accuracy98.6Unverified
10LGD-3D Two-stream3-fold Accuracy98.2Unverified