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 91–100 of 1322 papers

Title	Date	Tasks	Status	Hype	Score
COMPOSER: Compositional Reasoning of Group Activity in Videos with Keypoint-Only Modality	Dec 11, 2021	Activity RecognitionGroup Activity Recognition	CodeCode Available	1	5
MOMA-LRG: Language-Refined Graphs for Multi-Object Multi-Actor Activity Parsing	Nov 28, 2022	Activity RecognitionFew Shot Action Recognition	CodeCode Available	1	5
Contrastive Learning with Cross-Modal Knowledge Mining for Multimodal Human Activity Recognition	May 20, 2022	Activity RecognitionContrastive Learning	CodeCode Available	1	5
Multimodal Transformer for Nursing Activity Recognition	Apr 9, 2022	Activity Recognition	CodeCode Available	1	5
Hard No-Box Adversarial Attack on Skeleton-Based Human Action Recognition with Skeleton-Motion-Informed Gradient	Aug 10, 2023	Action RecognitionActivity Recognition	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
IMU2CLIP: Multimodal Contrastive Learning for IMU Motion Sensors from Egocentric Videos and Text	Oct 26, 2022	Activity RecognitionContrastive Learning	CodeCode Available	1	5
DANA: Dimension-Adaptive Neural Architecture for Multivariate Sensor Data	Aug 5, 2020	Activity RecognitionHuman Activity Recognition	CodeCode Available	1	5
Online Semi-Supervised Learning of Composite Event Rules by Combining Structure and Mass-Based Predicate Similarity	Dec 15, 2023	Activity Recognitionfeature selection	CodeCode Available	1	5
Navigating Open Set Scenarios for Skeleton-based Action Recognition	Dec 11, 2023	Action RecognitionActivity Recognition	CodeCode Available	1	5

Show:10 25 50

← PrevPage 10 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