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 671–680 of 1322 papers

Title	Date	Tasks	Status
A Close Look into Human Activity Recognition Models using Deep Learning	Apr 26, 2022	Activity RecognitionDeep Learning	—Unverified
PhysioGAN: Training High Fidelity Generative Model for Physiological Sensor Readings	Apr 25, 2022	Activity RecognitionClassification	—Unverified
Ensemble diverse hypotheses and knowledge distillation for unsupervised cross-subject adaptation	Apr 15, 2022	Activity RecognitionDomain Adaptation	CodeCode Available
Is my Driver Observation Model Overconfident? Input-guided Calibration Networks for Reliable and Interpretable Confidence Estimates	Apr 10, 2022	Action RecognitionActivity Recognition	—Unverified
EfficientFi: Towards Large-Scale Lightweight WiFi Sensing via CSI Compression	Apr 8, 2022	Activity RecognitionCloud Computing	—Unverified
Detector-Free Weakly Supervised Group Activity Recognition	Apr 5, 2022	Activity RecognitionGroup Activity Recognition	—Unverified
Dual-AI: Dual-path Actor Interaction Learning for Group Activity Recognition	Apr 5, 2022	Activity RecognitionGroup Activity Recognition	—Unverified
Grounding of the Functional Object-Oriented Network in Industrial Tasks	Apr 5, 2022	Activity Recognition	—Unverified
SecureSense: Defending Adversarial Attack for Secure Device-Free Human Activity Recognition	Apr 4, 2022	Activity RecognitionAdversarial Attack	—Unverified
VFDS: Variational Foresight Dynamic Selection in Bayesian Neural Networks for Efficient Human Activity Recognition	Mar 31, 2022	Activity RecognitionHuman Activity Recognition	—Unverified

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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