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 351–360 of 1322 papers

Title	Date	Tasks	Status
Creating a Large-scale Synthetic Dataset for Human Activity Recognition	Jul 21, 2020	Activity RecognitionHuman Activity Recognition	—Unverified
Deep Learning in Human Activity Recognition with Wearable Sensors: A Review on Advances	Oct 31, 2021	Activity RecognitionDeep Learning	—Unverified
Deep Positive Unlabeled Learning with a Sequential Bias	Jan 1, 2021	Activity RecognitionHuman Activity Recognition	—Unverified
Deep Recurrent Neural Network for Mobile Human Activity Recognition with High Throughput	Nov 11, 2016	Activity RecognitionHuman Activity Recognition	—Unverified
A Transformer-Based Model for the Prediction of Human Gaze Behavior on Videos	Apr 10, 2024	Activity RecognitionGaze Prediction	—Unverified
CoSS: Co-optimizing Sensor and Sampling Rate for Data-Efficient AI in Human Activity Recognition	Jan 3, 2024	Activity RecognitionHuman Activity Recognition	—Unverified
Deep Structured Models For Group Activity Recognition	Jun 12, 2015	Activity RecognitionGroup Activity Recognition	—Unverified
Deep Transfer Learning for Cross-domain Activity Recognition	Jul 20, 2018	Activity RecognitionCross-Domain Activity Recognition	—Unverified
Deep Transfer Learning with Graph Neural Network for Sensor-Based Human Activity Recognition	Mar 14, 2022	Activity RecognitionFew-Shot Learning	—Unverified
Action Segmentation Using 2D Skeleton Heatmaps and Multi-Modality Fusion	Sep 12, 2023	Action SegmentationActivity Recognition	—Unverified

Show:10 25 50

← PrevPage 36 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