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 61–70 of 1322 papers

Title	Date	Tasks	Status	Hype	Score
Comparing Self-Supervised Learning Techniques for Wearable Human Activity Recognition	Apr 8, 2024	Activity RecognitionHuman Activity Recognition	CodeCode Available	1	5
COMPOSER: Compositional Reasoning of Group Activity in Videos with Keypoint-Only Modality	Dec 11, 2021	Activity RecognitionGroup Activity Recognition	CodeCode Available	1	5
Efficient Two-Stream Network for Violence Detection Using Separable Convolutional LSTM	Feb 21, 2021	Activity RecognitionComputational Efficiency	CodeCode Available	1	5
DATTA: Domain-Adversarial Test-Time Adaptation for Cross-Domain WiFi-Based Human Activity Recognition	Nov 20, 2024	Activity RecognitionDomain Generalization	CodeCode Available	1	5
A Federated Learning Aggregation Algorithm for Pervasive Computing: Evaluation and Comparison	Oct 19, 2021	Activity RecognitionFederated Learning	CodeCode Available	1	5
CubeLearn: End-to-end Learning for Human Motion Recognition from Raw mmWave Radar Signals	Nov 7, 2021	Activity Recognition	CodeCode Available	1	5
Deep Learning for Time Series Classification and Extrinsic Regression: A Current Survey	Feb 6, 2023	Activity RecognitionClassification	CodeCode Available	1	5
DeepSense: A Unified Deep Learning Framework for Time-Series Mobile Sensing Data Processing	Nov 7, 2016	Activity RecognitionGeneral Classification	CodeCode Available	1	5
Convolutional Tensor-Train LSTM for Spatio-temporal Learning	Feb 21, 2020	Activity RecognitionVideo Compression	CodeCode Available	1	5
DANA: Dimension-Adaptive Neural Architecture for Multivariate Sensor Data	Aug 5, 2020	Activity RecognitionHuman Activity Recognition	CodeCode Available	1	5

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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