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 631–640 of 1322 papers

Title	Date	Tasks	Status	Hype
Lifelong Adaptive Machine Learning for Sensor-based Human Activity Recognition Using Prototypical Networks	Mar 11, 2022	Activity Recognitionclass-incremental learning	—Unverified	0
Defending Black-box Skeleton-based Human Activity Classifiers	Mar 9, 2022	Activity RecognitionHuman Activity Recognition	CodeCode Available	0
Human Gaze Guided Attention for Surgical Activity Recognition	Mar 9, 2022	Activity RecognitionVideo Understanding	—Unverified	0
Easy Ensemble: Simple Deep Ensemble Learning for Sensor-Based Human Activity Recognition	Mar 8, 2022	Activity RecognitionEnsemble Learning	CodeCode Available	0
LSTMSPLIT: Effective SPLIT Learning based LSTM on Sequential Time-Series Data	Mar 8, 2022	Activity RecognitionFederated Learning	—Unverified	0
Panoramic Human Activity Recognition	Mar 8, 2022	Activity RecognitionGraph Neural Network	CodeCode Available	1
HAR-GCNN: Deep Graph CNNs for Human Activity Recognition From Highly Unlabeled Mobile Sensor Data	Mar 7, 2022	Activity RecognitionHuman Activity Recognition	CodeCode Available	1
TransDARC: Transformer-based Driver Activity Recognition with Latent Space Feature Calibration	Mar 2, 2022	Activity RecognitionHuman Activity Recognition	CodeCode Available	1
Wearable Sensor-Based Human Activity Recognition with Transformer Model	Mar 1, 2022	Activity RecognitionHuman Activity Recognition	CodeCode Available	1
Assessing the State of Self-Supervised Human Activity Recognition using Wearables	Feb 22, 2022	Activity RecognitionDomain Adaptation	—Unverified	0

Show:10 25 50

← PrevPage 64 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