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 391–400 of 1322 papers

Title	Date	Tasks	Status
A Multi-Task Deep Learning Approach for Sensor-based Human Activity Recognition and Segmentation	Mar 20, 2023	Activity RecognitionBenchmarking	—Unverified
Activity recognition from videos with parallel hypergraph matching on GPUs	May 4, 2015	Activity RecognitionGPU	—Unverified
BAR: Bayesian Activity Recognition using variational inference	Nov 8, 2018	Activity RecognitionBayesian Inference	—Unverified
Balancing Privacy and Action Performance: A Penalty-Driven Approach to Image Anonymization	Apr 19, 2025	Action RecognitionActivity Recognition	—Unverified
A Multi-Stream Convolutional Neural Network Framework for Group Activity Recognition	Dec 26, 2018	Activity RecognitionGroup Activity Recognition	—Unverified
Balancing Continual Learning and Fine-tuning for Human Activity Recognition	Jan 4, 2024	Activity RecognitionContinual Learning	—Unverified
Background Knowledge Injection for Interpretable Sequence Classification	Jun 25, 2020	Activity RecognitionClassification	—Unverified
A Multi-Modal Explainability Approach for Human-Aware Robots in Multi-Party Conversation	May 20, 2024	Activity RecognitionBinary Classification	—Unverified
Activity Recognition From Newborn Resuscitation Videos	Mar 14, 2023	Activity Recognitionobject-detection	—Unverified
A Comprehensive Overview on UWB Radar: Applications, Standards, Signal Processing Techniques, Datasets, Radio Chips, Trends and Future Research Directions	Feb 8, 2024	Activity RecognitionSurvey	—Unverified

Show:10 25 50

← PrevPage 40 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