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 51–60 of 1322 papers

Title	Date	Tasks	Status	Hype
MOMA-LRG: Language-Refined Graphs for Multi-Object Multi-Actor Activity Parsing	Nov 28, 2022	Activity RecognitionFew Shot Action Recognition	CodeCode Available	1
SWL-Adapt: An Unsupervised Domain Adaptation Model with Sample Weight Learning for Cross-User Wearable Human Activity Recognition	Nov 25, 2022	Activity RecognitionDomain Adaptation	CodeCode Available	1
Understanding the Vulnerability of Skeleton-based Human Activity Recognition via Black-box Attack	Nov 21, 2022	Activity RecognitionAdversarial Attack	CodeCode Available	1
Wearable-based Human Activity Recognition with Spatio-Temporal Spiking Neural Networks	Nov 14, 2022	Activity RecognitionHuman Activity Recognition	CodeCode Available	1
IMU2CLIP: Multimodal Contrastive Learning for IMU Motion Sensors from Egocentric Videos and Text	Oct 26, 2022	Activity RecognitionContrastive Learning	CodeCode Available	1
Temporal Feature Alignment in Contrastive Self-Supervised Learning for Human Activity Recognition	Oct 7, 2022	Activity RecognitionDynamic Time Warping	CodeCode Available	1
Lightweight Transformers for Human Activity Recognition on Mobile Devices	Sep 22, 2022	Activity RecognitionHuman Activity Recognition	CodeCode Available	1
SFusion: Self-attention based N-to-One Multimodal Fusion Block	Aug 26, 2022	Activity RecognitionBrain Tumor Segmentation	CodeCode Available	1
Fine-Grained Egocentric Hand-Object Segmentation: Dataset, Model, and Applications	Aug 7, 2022	Activity RecognitionData Augmentation	CodeCode Available	1
Self-supervised Learning for Human Activity Recognition Using 700,000 Person-days of Wearable Data	Jun 6, 2022	Activity RecognitionHuman Activity Recognition	CodeCode Available	1

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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