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 2591–2600 of 2759 papers

Title	Date	Tasks	Status
Learning a Deep Model for Human Action Recognition from Novel Viewpoints	Feb 2, 2016	Action RecognitionTemporal Action Localization	—Unverified
Learning a discriminative hidden part model for human action recognition	Dec 1, 2008	Action RecognitionObject	—Unverified
Learning and Recognizing Human Action from Skeleton Movement with Deep Residual Neural Networks	Mar 21, 2018	Action RecognitionDeep Learning	—Unverified
Learning and Refining of Privileged Information-based RNNs for Action Recognition from Depth Sequences	Mar 28, 2017	Action RecognitionGeneral Classification	—Unverified
Learning and Using the Arrow of Time	Jun 1, 2018	Action RecognitionSelf-Supervised Action Recognition	—Unverified
Learning a Non-Linear Knowledge Transfer Model for Cross-View Action Recognition	Jun 1, 2015	Action RecognitionTemporal Action Localization	—Unverified
Learning a Pose Lexicon for Semantic Action Recognition	Apr 1, 2016	Action RecognitionTemporal Action Localization	—Unverified
Learning Chebyshev Basis in Graph Convolutional Networks for Skeleton-based Action Recognition	Apr 12, 2021	Action RecognitionSkeleton Based Action Recognition	—Unverified
Learning Class Regularized Features for Action Recognition	Feb 7, 2020	Action Recognition	—Unverified
Learning clip representations for skeleton-based 3d action recognition	Mar 5, 2018	3D Action RecognitionAction Recognition	—Unverified

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All datasets Something-Something V2 UCF101 HMDB-51 Something-Something V1 AVA v2.2 EPIC-KITCHENS-100 NTU RGB+D NTU RGB+D 120 Diving-48 ActivityNet AVA v2.1 H2O (2 Hands and Objects)

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	MViTv2-B (IN-21K + Kinetics400 pretrain)	Top-5 Accuracy	93.4	—	Unverified
2	RSANet-R50 (8+16 frames, ImageNet pretrained, 2 clips)	Top-5 Accuracy	91.1	—	Unverified
3	MVD (Kinetics400 pretrain, ViT-H, 16 frame)	Top-1 Accuracy	77.3	—	Unverified
4	InternVideo	Top-1 Accuracy	77.2	—	Unverified
5	DejaVid	Top-1 Accuracy	77.2	—	Unverified
6	InternVideo2-1B	Top-1 Accuracy	77.1	—	Unverified
7	VideoMAE V2-g	Top-1 Accuracy	77	—	Unverified
8	MVD (Kinetics400 pretrain, ViT-L, 16 frame)	Top-1 Accuracy	76.7	—	Unverified
9	Hiera-L (no extra data)	Top-1 Accuracy	76.5	—	Unverified
10	TubeViT-L	Top-1 Accuracy	76.1	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	FTP-UniFormerV2-L/14	3-fold Accuracy	99.7	—	Unverified
2	OmniVec2	3-fold Accuracy	99.6	—	Unverified
3	OmniVec	3-fold Accuracy	99.6	—	Unverified
4	VideoMAE V2-g	3-fold Accuracy	99.6	—	Unverified
5	BIKE	3-fold Accuracy	98.8	—	Unverified
6	SMART	3-fold Accuracy	98.64	—	Unverified
7	ZeroI2V ViT-L/14	3-fold Accuracy	98.6	—	Unverified
8	OmniSource (SlowOnly-8x8-R101-RGB + I3D-Flow)	3-fold Accuracy	98.6	—	Unverified
9	PERF-Net (multi-distilled S3D)	3-fold Accuracy	98.6	—	Unverified
10	Text4Vis	3-fold Accuracy	98.2	—	Unverified