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 110 of 2759 papers

TitleStatusHype
A Real-Time System for Egocentric Hand-Object Interaction Detection in Industrial Domains0
Zero-shot Skeleton-based Action Recognition with Prototype-guided Feature AlignmentCode1
EgoAdapt: Adaptive Multisensory Distillation and Policy Learning for Efficient Egocentric Perception0
Feature Hallucination for Self-supervised Action Recognition0
CARMA: Context-Aware Situational Grounding of Human-Robot Group Interactions by Combining Vision-Language Models with Object and Action Recognition0
Including Semantic Information via Word Embeddings for Skeleton-based Action Recognition0
Adapting Vision-Language Models for Evaluating World Models0
Active Multimodal Distillation for Few-shot Action Recognition0
Time-Unified Diffusion Policy with Action Discrimination for Robotic Manipulation0
An Effective End-to-End Solution for Multimodal Action Recognition0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Text4Vis (w/ ViT-L)mAP96.9Unverified
2BIKEmAP96.1Unverified
3InternVideo2-6BmAP95.9Unverified
4NSNet (w/ Swin-L)mAP94.3Unverified
5TSQNet (w/ Swin-L)mAP93.7Unverified
6DSANet (w/ 3D ResNet50)mAP90.5Unverified
7MARL (w/ SEResNeXt-152)mAP90.05Unverified
8ListenToLookmAP89.9Unverified
9DSNmAP87.9Unverified
10SMARTmAP84.4Unverified