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 1201–1250 of 2759 papers

TitleStatusHype
Face-space Action Recognition by Face-Object Interactions—0
A Multi-Stream Bi-Directional Recurrent Neural Network for Fine-Grained Action Detection—0
F4D: Factorized 4D Convolutional Neural Network for Efficient Video-level Representation Learning—0
CCS: Continuous Learning for Customized Incremental Wireless Sensing Services—0
Extrinsic Methods for Coding and Dictionary Learning on Grassmann Manifolds—0
Leveraging Endo- and Exo-Temporal Regularization for Black-box Video Domain Adaptation—0
Category-Blind Human Action Recognition: A Practical Recognition System—0
Action recognition in real-world videos—0
Extensible Hierarchical Method of Detecting Interactive Actions for Video Understanding—0
Extending Temporal Data Augmentation for Video Action Recognition—0
Extended multi-stream temporal-attention module for skeleton-based human action recognition (HAR)—0
CASPER: Cognitive Architecture for Social Perception and Engagement in Robots—0
AM Flow: Adapters for Temporal Processing in Action Recognition—0
Exploring the Impact of Hand Pose and Shadow on Hand-washing Action Recognition—0
Cascaded Interactional Targeting Network for Egocentric Video Analysis—0
Exploring Sub-Pseudo Labels for Learning from Weakly-Labeled Web Videos—0
Exploring Relations in Untrimmed Videos for Self-Supervised Learning—0
CaSAR: Contact-aware Skeletal Action Recognition—0
Alternative Semantic Representations for Zero-Shot Human Action Recognition—0
A Compact Kernel Approximation for 3D Action Recognition—0
3DFCNN: Real-Time Action Recognition using 3D Deep Neural Networks with Raw Depth Information—0
Prototype Learning for Micro-gesture Classification—0
Action recognition with spatial-temporal discriminative filter banks—0
Exploring Missing Modality in Multimodal Egocentric Datasets—0
Exploring Explainability in Video Action Recognition—0
Exploring AI-based Anonymization of Industrial Image and Video Data in the Context of Feature Preservation—0
CARMA: Context-Aware Situational Grounding of Human-Robot Group Interactions by Combining Vision-Language Models with Object and Action Recognition—0
Exploiting the ConvLSTM: Human Action Recognition using Raw Depth Video-Based Recurrent Neural Networks—0
Capturing Co-existing Distortions in User-Generated Content for No-reference Video Quality Assessment—0
Exploiting Structure Sparsity for Covariance-based Visual Representation—0
Exploiting Spatial-Temporal Modelling and Multi-Modal Fusion for Human Action Recognition—0
Can We Learn Heuristics For Graphical Model Inference Using Reinforcement Learning?—0
All About Knowledge Graphs for Actions—0
Exploiting Motion Information from Unlabeled Videos for Static Image Action Recognition—0
Exploiting Inter-Frame Regional Correlation for Efficient Action Recognition—0
Can VLMs be used on videos for action recognition? LLMs are Visual Reasoning Coordinators—0
Exploiting deep residual networks for human action recognition from skeletal data—0
Alignment-guided Temporal Attention for Video Action Recognition—0
Expansion-Squeeze-Excitation Fusion Network for Elderly Activity Recognition—0
Canonical Correlation Analysis for Misaligned Satellite Image Change Detection—0
Expanded Parts Model for Human Attribute and Action Recognition in Still Images—0
Can masking background and object reduce static bias for zero-shot action recognition?—0
Aligning Correlation Information for Domain Adaptation in Action Recognition—0
Action Recognition: From Static Datasets to Moving Robots—0
Egocentric and Exocentric Methods: A Short Survey—0
EXMOVES: Classifier-based Features for Scalable Action Recognition—0
Can Humans Fly? Action Understanding With Multiple Classes of Actors—0
Examining Interpretable Feature Relationships in Deep Networks for Action recognition—0
CAMREP- Concordia Action and Motion Repository—0
Evolving Space-Time Neural Architectures for Videos—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
4DejaVidTop-1 Accuracy77.2—Unverified
5InternVideoTop-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
3VideoMAE V2-g3-fold Accuracy99.6—Unverified
4OmniVec3-fold Accuracy99.6—Unverified
5BIKE3-fold Accuracy98.8—Unverified
6SMART3-fold Accuracy98.64—Unverified
7OmniSource (SlowOnly-8x8-R101-RGB + I3D-Flow)3-fold Accuracy98.6—Unverified
8PERF-Net (multi-distilled S3D)3-fold Accuracy98.6—Unverified
9ZeroI2V ViT-L/143-fold Accuracy98.6—Unverified
10LGD-3D Two-stream3-fold Accuracy98.2—Unverified