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	Hype
Timestamp-supervised Wearable-based Activity Segmentation and Recognition with Contrastive Learning and Order-Preserving Optimal Transport	Oct 13, 2023	Activity RecognitionContrastive Learning	—Unverified	0
Antenna Response Consistency Driven Self-supervised Learning for WIFI-based Human Activity Recognition	Oct 10, 2023	Activity RecognitionARC	—Unverified	0
Augmenting Vision-Based Human Pose Estimation with Rotation Matrix	Oct 9, 2023	Activity RecognitionData Augmentation	—Unverified	0
Otago Exercises Monitoring for Older Adults by a Single IMU and Hierarchical Machine Learning Models	Oct 5, 2023	Activity RecognitionHuman Activity Recognition	—Unverified	0
Hadamard Domain Training with Integers for Class Incremental Quantized Learning	Oct 5, 2023	Activity Recognitionclass-incremental learning	—Unverified	0
Decoding Human Activities: Analyzing Wearable Accelerometer and Gyroscope Data for Activity Recognition	Oct 3, 2023	Activity RecognitionHuman Activity Recognition	—Unverified	0
Black-box Attacks on Image Activity Prediction and its Natural Language Explanations	Sep 30, 2023	Activity PredictionActivity Recognition	—Unverified	0
Investigating Deep Neural Network Architecture and Feature Extraction Designs for Sensor-based Human Activity Recognition	Sep 26, 2023	Activity RecognitionContrastive Learning	—Unverified	0
Finding Order in Chaos: A Novel Data Augmentation Method for Time Series in Contrastive Learning	Sep 23, 2023	Activity RecognitionContrastive Learning	CodeCode Available	1
SkeleTR: Towrads Skeleton-based Action Recognition in the Wild	Sep 20, 2023	Action ClassificationAction Detection	—Unverified	0

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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