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 651–700 of 2759 papers

TitleStatusHype
3D Human Action Recognition with Siamese-LSTM Based Deep Metric Learning—0
ChildPlay-Hand: A Dataset of Hand Manipulations in the Wild—0
Action Recognition in Untrimmed Videos with Composite Self-Attention Two-Stream Framework—0
ELSA: Evaluating Localization of Social Activities in Urban Streets using Open-Vocabulary Detection—0
Embedding Symbolic Temporal Knowledge into Deep Sequential Models—0
Emotion Recognition from the perspective of Activity Recognition—0
Channel-Temporal Attention for First-Person Video Domain Adaptation—0
Action Recognition in the Frequency Domain—0
CHAM: action recognition using convolutional hierarchical attention model—0
Challenges of the Creation of a Dataset for Vision Based Human Hand Action Recognition in Industrial Assembly—0
An Action Recognition network for specific target based on rMC and RPN—0
Elastic Functional Coding of Human Actions: From Vector-Fields to Latent Variables—0
Challenge report:VIPriors Action Recognition Challenge—0
Action recognition in still images by latent superpixel classification—0
A compact sequence encoding scheme for online human activity recognition in HRI applications—0
ElderSim: A Synthetic Data Generation Platform for Human Action Recognition in Eldercare Applications—0
Unifying Graph Embedding Features with Graph Convolutional Networks for Skeleton-based Action Recognition—0
A Multi-Stream Bi-Directional Recurrent Neural Network for Fine-Grained Action Detection—0
CCS: Continuous Learning for Customized Incremental Wireless Sensing Services—0
Category-Blind Human Action Recognition: A Practical Recognition System—0
Action recognition in real-world videos—0
CASPER: Cognitive Architecture for Social Perception and Engagement in Robots—0
AM Flow: Adapters for Temporal Processing in Action Recognition—0
Cascaded Interactional Targeting Network for Egocentric Video Analysis—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
EleAtt-RNN: Adding Attentiveness to Neurons in Recurrent Neural Networks—0
Enhancing Video Understanding: Deep Neural Networks for Spatiotemporal Analysis—0
CARMA: Context-Aware Situational Grounding of Human-Robot Group Interactions by Combining Vision-Language Models with Object and Action Recognition—0
Action Recognition: From Static Datasets to Moving Robots—0
Capturing Co-existing Distortions in User-Generated Content for No-reference Video Quality Assessment—0
Can We Learn Heuristics For Graphical Model Inference Using Reinforcement Learning?—0
All About Knowledge Graphs for Actions—0
Can VLMs be used on videos for action recognition? LLMs are Visual Reasoning Coordinators—0
Alignment-guided Temporal Attention for Video Action Recognition—0
Canonical Correlation Analysis for Misaligned Satellite Image Change Detection—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
EgoViT: Pyramid Video Transformer for Egocentric Action Recognition—0
Can Humans Fly? Action Understanding With Multiple Classes of Actors—0
CAMREP- Concordia Action and Motion Repository—0
Action recognition from depth maps using deep convolutional neural networks—0
CA^2ST: Cross-Attention in Audio, Space, and Time for Holistic Video Recognition—0
Align before Adapt: Leveraging Entity-to-Region Alignments for Generalizable Video Action Recognition—0
How Much Does Audio Matter to Recognize Egocentric Object Interactions?—0
Bypass Enhancement RGB Stream Model for Pedestrian Action Recognition of Autonomous Vehicles—0
Bullying10K: A Large-Scale Neuromorphic Dataset towards Privacy-Preserving Bullying Recognition—0
Building Neural Networks on Matrix Manifolds: A Gyrovector Space Approach—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