Activity Recognition

Human Activity Recognition is the problem of identifying events performed by humans given a video input. It is formulated as a binary (or multiclass) classification problem of outputting activity class labels. Activity Recognition is an important problem with many societal applications including smart surveillance, video search/retrieval, intelligent robots, and other monitoring systems.

Source: Learning Latent Sub-events in Activity Videos Using Temporal Attention Filters

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 321–330 of 1322 papers

Title	Date	Tasks	Status	Hype
Towards a geometric understanding of Spatio Temporal Graph Convolution Networks	Dec 12, 2023	Action RecognitionActivity Recognition	CodeCode Available	0
CSI-Based Cross-Domain Activity Recognition via Zero-Shot Prototypical Networks	Dec 12, 2023	Activity RecognitionCross-Domain Activity Recognition	—Unverified	0
Navigating Open Set Scenarios for Skeleton-based Action Recognition	Dec 11, 2023	Action RecognitionActivity Recognition	CodeCode Available	1
A Review of Machine Learning Methods Applied to Video Analysis Systems	Dec 8, 2023	Active LearningActivity Recognition	—Unverified	0
The Potential of Vision-Language Models for Content Moderation of Children's Videos	Dec 6, 2023	Activity Recognitionobject-detection	—Unverified	0
Multi-Scale and Multi-Modal Contrastive Learning Network for Biomedical Time Series	Dec 6, 2023	Activity RecognitionContrastive Learning	—Unverified	0
From Lab to Field: Real-World Evaluation of an AI-Driven Smart Video Solution to Enhance Community Safety	Dec 4, 2023	Activity RecognitionAnomaly Detection	—Unverified	0
Virtual Fusion with Contrastive Learning for Single Sensor-based Activity Recognition	Dec 1, 2023	Activity RecognitionContrastive Learning	—Unverified	0
A Causality-Aware Pattern Mining Scheme for Group Activity Recognition in a Pervasive Sensor Space	Dec 1, 2023	Activity RecognitionGroup Activity Recognition	—Unverified	0
Student Activity Recognition in Classroom Environments using Transfer Learning	Dec 1, 2023	Activity RecognitionHuman Activity Recognition	—Unverified	0

Show:10 25 50

← PrevPage 33 of 133Next →

All datasets RWF-2000 Stanford40 First-Person Hand Action Benchmark Self-stimulatory Behavior Dataset

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	Structured Keypoint Pooling	Accuracy	93.4	—	Unverified
2	Semi-Supervised Hard Attention (SSHA); pretrained on Deepmind Kinetics dataset	Accuracy	90.4	—	Unverified
3	Human Skeletons + Change Detection	Accuracy	90.25	—	Unverified
4	Separable Convolutional LSTM	Accuracy	89.75	—	Unverified
5	SPIL Convolution	Accuracy	89.3	—	Unverified
6	Flow Gated Network	Accuracy	87.25	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	FocusCLIP	Top-3 Accuracy (%)	10.47	—	Unverified
2	CLIP	Top-3 Accuracy (%)	6.49	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Boutaleb et al.	1:1 Accuracy	97.91	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	all-landmark-model	Activity Recognition	0.76	—	Unverified