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 13011350 of 2759 papers

TitleStatusHype
Combined CNN Transformer Encoder for Enhanced Fine-grained Human Action Recognition0
Two-Stream Transformer Architecture for Long Video Understanding0
Object-ABN: Learning to Generate Sharp Attention Maps for Action Recognition0
Unsupervised Domain Adaptation for Video Transformers in Action RecognitionCode0
P2ANet: A Dataset and Benchmark for Dense Action Detection from Table Tennis Match Broadcasting Videos0
Intelligent 3D Network Protocol for Multimedia Data Classification using Deep Learning0
Temporal Saliency Query Network for Efficient Video Recognition0
AE-Net:Adjoint Enhancement Network for Efficient Action Recognition in Video Understanding0
Real-Time Elderly Monitoring for Senior Safety by Lightweight Human Action Recognition0
NSNet: Non-saliency Suppression Sampler for Efficient Video Recognition0
GOCA: Guided Online Cluster Assignment for Self-Supervised Video Representation LearningCode0
Multi-manifold Attention for Vision Transformers0
Learning from Temporal Spatial Cubism for Cross-Dataset Skeleton-based Action RecognitionCode0
LAVA: Language Audio Vision Alignment for Contrastive Video Pre-Training0
Action Recognition With Motion Diversification and Dynamic Selection0
BQN: Busy-Quiet Net Enabled by Motion Band-Pass Module for Action Recognition0
Efficient Human Vision Inspired Action Recognition using Adaptive Spatiotemporal SamplingCode0
Skeletal Human Action Recognition using Hybrid Attention based Graph Convolutional NetworkCode0
Compound Prototype Matching for Few-shot Action Recognition0
VidConv: A modernized 2D ConvNet for Efficient Video RecognitionCode0
EPIC-KITCHENS-100 Unsupervised Domain Adaptation Challenge for Action Recognition 2022: Team HNU-FPV Technical Report0
Unsupervised Learning for Human Sensing Using Radio Signals0
Disentangled Action Recognition with Knowledge Bases0
Large-scale Robustness Analysis of Video Action Recognition ModelsCode0
Skeleton-based Action Recognition via Adaptive Cross-Form LearningCode0
Spatial Transformer Network with Transfer Learning for Small-scale Fine-grained Skeleton-based Tai Chi Action Recognition0
A New Adjacency Matrix Configuration in GCN-based Models for Skeleton-based Action Recognition0
Defending Multimodal Fusion Models against Single-Source Adversaries0
M&M Mix: A Multimodal Multiview Transformer Ensemble0
0/1 Deep Neural Networks via Block Coordinate Descent0
Learning Using Privileged Information for Zero-Shot Action Recognition0
Analysis and Extensions of Adversarial Training for Video ClassificationCode0
Bringing Image Scene Structure to Video via Frame-Clip Consistency of Object Tokens0
A Training Method For VideoPose3D With Ideology of Action Recognition0
MLP-3D: A MLP-like 3D Architecture with Grouped Time MixingCode0
Learn2Augment: Learning to Composite Videos for Data Augmentation in Action Recognition0
PrivHAR: Recognizing Human Actions From Privacy-preserving Lens0
3D Convolutional with Attention for Action Recognition0
The Spike Gating Flow: A Hierarchical Structure Based Spiking Neural Network for Online Gesture RecognitionCode0
Team VI-I2R Technical Report on EPIC-KITCHENS-100 Unsupervised Domain Adaptation Challenge for Action Recognition 20210
Self-supervised Learning of Audio Representations from Audio-Visual Data using Spatial Alignment0
2D versus 3D Convolutional Spiking Neural Networks Trained with Unsupervised STDP for Human Action Recognition0
GraSens: A Gabor Residual Anti-aliasing Sensing Framework for Action Recognition using WiFi0
Detection of Fights in Videos: A Comparison Study of Anomaly Detection and Action Recognition0
Action Recognition for American Sign Language0
PSO-Convolutional Neural Networks with Heterogeneous Learning RateCode0
PYSKL: Towards Good Practices for Skeleton Action Recognition0
Noise-Tolerant Learning for Audio-Visual Action Recognition0
Video-ReTime: Learning Temporally Varying Speediness for Time Remapping0
Representation Learning for Compressed Video Action Recognition via Attentive Cross-modal Interaction with Motion Enhancement0
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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