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 111–120 of 1322 papers

Title	Date	Tasks	Status	Hype	Score
Ego-Exo: Transferring Visual Representations from Third-person to First-person Videos	Apr 16, 2021	Activity RecognitionDiversity	CodeCode Available	1	5
SHARP: Environment and Person Independent Activity Recognition with Commodity IEEE 802.11 Access Points	Mar 17, 2021	Activity RecognitionBenchmarking	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
SPAct: Self-supervised Privacy Preservation for Action Recognition	Mar 29, 2022	Action ClassificationAction Recognition	CodeCode Available	1	5
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	5
TASAR: Transfer-based Attack on Skeletal Action Recognition	Sep 4, 2024	Action RecognitionActivity Recognition	CodeCode Available	1	5
Temporal Feature Alignment in Contrastive Self-Supervised Learning for Human Activity Recognition	Oct 7, 2022	Activity RecognitionDynamic Time Warping	CodeCode Available	1	5
SFusion: Self-attention based N-to-One Multimodal Fusion Block	Aug 26, 2022	Activity RecognitionBrain Tumor Segmentation	CodeCode Available	1	5
ESPRESSO: Entropy and ShaPe awaRe timE-Series SegmentatiOn for processing heterogeneous sensor data	Jul 24, 2020	Activity RecognitionChange Point Detection	CodeCode Available	1	5
OSL𝛼: Online Structure Learning Using Background Knowledge Axiomatization	Sep 4, 2016	Activity RecognitionRelational Reasoning	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