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 31–40 of 1322 papers

Title	Date	Tasks	Status	Hype
Comparing Self-Supervised Learning Techniques for Wearable Human Activity Recognition	Apr 8, 2024	Activity RecognitionHuman Activity Recognition	CodeCode Available	1
COMPOSER: Compositional Reasoning of Group Activity in Videos with Keypoint-Only Modality	Dec 11, 2021	Activity RecognitionGroup Activity Recognition	CodeCode Available	1
Convolutional Tensor-Train LSTM for Spatio-temporal Learning	Feb 21, 2020	Activity RecognitionVideo Compression	CodeCode Available	1
Challenges in Multi-centric Generalization: Phase and Step Recognition in Roux-en-Y Gastric Bypass Surgery	Dec 18, 2023	Activity Recognition	CodeCode Available	1
CholecTriplet2021: A benchmark challenge for surgical action triplet recognition	Apr 10, 2022	Action DetectionAction Triplet Recognition	CodeCode Available	1
Bridge-Prompt: Towards Ordinal Action Understanding in Instructional Videos	Mar 26, 2022	Action SegmentationAction Understanding	CodeCode Available	1
BASAR:Black-box Attack on Skeletal Action Recognition	Mar 9, 2021	Action RecognitionActivity Recognition	CodeCode Available	1
Action-slot: Visual Action-centric Representations for Multi-label Atomic Activity Recognition in Traffic Scenes	Nov 29, 2023	Action RecognitionActivity Recognition	CodeCode Available	1
CALDA: Improving Multi-Source Time Series Domain Adaptation with Contrastive Adversarial Learning	Sep 30, 2021	Activity RecognitionContrastive Learning	CodeCode Available	1
Audio-Adaptive Activity Recognition Across Video Domains	Mar 27, 2022	Activity RecognitionDomain Adaptation	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