Action Recognition In Videos

Action Recognition in Videos is a task in computer vision and pattern recognition where the goal is to identify and categorize human actions performed in a video sequence. The task involves analyzing the spatiotemporal dynamics of the actions and mapping them to a predefined set of action classes, such as running, jumping, or swimming.

Papers

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Showing 71–80 of 124 papers

Title	Date	Tasks	Status
Per-Sample Kernel Adaptation for Visual Recognition and Grouping	Dec 1, 2015	Action RecognitionAction Recognition In Videos	—Unverified
Pose-Based Two-Stream Relational Networks for Action Recognition in Videos	May 22, 2018	Action RecognitionAction Recognition In Videos	—Unverified
Pose from Action: Unsupervised Learning of Pose Features based on Motion	Sep 18, 2016	Action RecognitionAction Recognition In Videos	—Unverified
Procedural Generation of Videos to Train Deep Action Recognition Networks	Dec 2, 2016	Action RecognitionAction Recognition In Videos	—Unverified
Skeletal Movement to Color Map: A Novel Representation for 3D Action Recognition with Inception Residual Networks	Jul 18, 2018	3D Action RecognitionAction Recognition	—Unverified
Skeleton based Activity Recognition by Fusing Part-wise Spatio-temporal and Attention Driven Residues	Dec 2, 2019	3D Action RecognitionAction Recognition	—Unverified
Spatiotemporal Fusion in 3D CNNs: A Probabilistic View	Apr 10, 2020	Action RecognitionAction Recognition In Videos	—Unverified
Spatio-Temporal Vector of Locally Max Pooled Features for Action Recognition in Videos	Jul 1, 2017	Action RecognitionAction Recognition In Videos	—Unverified
STM: SpatioTemporal and Motion Encoding for Action Recognition	Aug 7, 2019	Action ClassificationAction Recognition	—Unverified
Sympathy for the Details: Dense Trajectories and Hybrid Classification Architectures for Action Recognition	Aug 25, 2016	Action RecognitionAction Recognition In Videos	—Unverified

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All datasets Jester (Gesture Recognition)PKU-MMD UCF101 Something-Something V2 Kinetics 400 AVA v2.2 FS-Something-Something V2-Full FS-Something-Something V2-Small Sports-1M THUMOS14 ActivityNet AVA v2.1

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	CPNet Res34, 5 CP	Val	96.7	—	Unverified
2	STM (Resnet-50, 16 frames)	Val	96.7	—	Unverified
3	MFNet	Val	96.68	—	Unverified
4	DIN	Val	95.31	—	Unverified
5	MultiScale TRN	Val	95.31	—	Unverified
6	convSTAR	Val	92.7	—	Unverified
7	3D-SqueezeNet	Val	90.77	—	Unverified
8	3D-ShuffleNetV2 0.25x	Val	86.91	—	Unverified
9	3D-MobileNetV2 0.2x	Val	86.43	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	DSCNet (RGB + Pose)	X-Sub	97.4	—	Unverified
2	MMNet	X-Sub	97.4	—	Unverified
3	EPAM-Net	X-Sub	96.2	—	Unverified
4	DVANet (RGB only)	X-Sub	95.8	—	Unverified
5	TSMF	X-Sub	95.8	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	STM (ImageNet+Kinetics pretrain)	3-fold Accuracy	96.2	—	Unverified
2	3D-SqueezeNet	3-fold Accuracy	74.94	—	Unverified
3	3D-ShuffleNetV2 0.25x	3-fold Accuracy	56.52	—	Unverified
4	3D-MobileNetV2 0.2x	3-fold Accuracy	55.56	—	Unverified
5	Baseline UCF101	3-fold Accuracy	43.9	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	STM (16 frames, ImageNet pretraining)	Top-1 Accuracy	64.2	—	Unverified
2	CPNet Res34, 5 CP	Top-1 Accuracy	57.65	—	Unverified
3	2-Stream TRN	Top-1 Accuracy	55.52	—	Unverified
4	DIN	Top-1 Accuracy	34.11	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Florence	Top-1 Accuracy	86.5	—	Unverified
2	ActionCLIP (ViT-B/16)	Top-1 Accuracy	83.8	—	Unverified
3	Frozen Backbone, SwinV2-G-ext22K (Video-Swin)	Top-1 Accuracy	81.7	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	YOWO+LFB*	mAP (Val)	20.2	—	Unverified
2	VideoMAE V2	mAP (Val)	18.24	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ITANet	Top-1 Accuracy(5-Way-1-Shot)	49.2	—	Unverified
2	OTAM[3]++	Top-1 Accuracy(5-Way-1-Shot)	42.8	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ITANet	Top-1 Accuracy(5-Way-1-Shot)	39.8	—	Unverified
2	CMN[35]	Top-1 Accuracy(5-Way-1-Shot)	36.2	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	G-Blend	Video hit@1	74.8	—	Unverified
2	LSTM +Pretrained on YT-8M	Video hit@1	65.7	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Single-stream R-C3D (two-way buffer)	mAP@0.1	54.5	—	Unverified
2	Single-stream R-C3D (one-way buffer)	mAP@0.1	51.6	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	LSTM + Pretrained on YT-8M	mAP	75.6	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	YOWO+LFB*	mAP (Val)	19.2	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	STM (ImageNet+Kinetics pretrain)	Average accuracy of 3 splits	72.2	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Florence	Top-1 Accuracy	87.8	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	G-Blend	Clip Hit@1	49.7	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	2D-3D-Softargmax (RGB only)	Accuracy (CS)	85.5	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	STM (16 frames, ImageNet pretraining)	Top 1 Accuracy	50.7	—	Unverified