SOTAVerified

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 AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 601–625 of 1322 papers

TitleStatusHype
ConViViT -- A Deep Neural Network Combining Convolutions and Factorized Self-Attention for Human Activity Recognition—0
HAPRec: Hybrid Activity and Plan Recognizer—0
Compact CNN for Indexing Egocentric Videos—0
HAR-DoReMi: Optimizing Data Mixture for Self-Supervised Human Activity Recognition Across Heterogeneous IMU Datasets—0
Appearance Based Robot and Human Activity Recognition System—0
Forward-Backward Greedy Algorithms for General Convex Smooth Functions over A Cardinality Constraint—0
A dataset for complex activity recognition withmicro and macro activities in a cooking scenario—0
Forensic Video Analytic Software—0
Creating a Large-scale Synthetic Dataset for Human Activity Recognition—0
HAR-Net:Fusing Deep Representation and Hand-crafted Features for Human Activity Recognition—0
HENASY: Learning to Assemble Scene-Entities for Egocentric Video-Language Model—0
Heterogeneous Hidden Markov Models for Sleep Activity Recognition from Multi-Source Passively Sensed Data—0
Heterogeneous Hyper-Graph Neural Networks for Context-aware Human Activity Recognition—0
Heterogeneous Recurrent Spiking Neural Network for Spatio-Temporal Classification—0
Follow the Attention: Combining Partial Pose and Object Motion for Fine-Grained Action Detection—0
An Unsupervised Approach for Automatic Activity Recognition based on Hidden Markov Model Regression—0
Cross-Domain HAR: Few Shot Transfer Learning for Human Activity Recognition—0
Arianna+: Scalable Human Activity Recognition by Reasoning with a Network of Ontologies—0
ARIC: An Activity Recognition Dataset in Classroom Surveillance Images—0
ActionNet-VE Dataset: A Dataset for Describing Visual Events by Extending VIRAT Ground 2.0—0
Cross-modal Learning for Multi-modal Video Categorization—0
Homogenization of Existing Inertial-Based Datasets to Support Human Activity Recognition—0
Human activity recognition based on time series analysis using U-Net—0
Human Action Attribute Learning From Video Data Using Low-Rank Representations—0
Human Activity Recognition for Mobile Robot—0
Show:102550
← PrevPage 25 of 53Next →
All datasetsRWF-2000Stanford40First-Person Hand Action BenchmarkSelf-stimulatory Behavior Dataset

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Structured Keypoint PoolingAccuracy93.4—Unverified
2Semi-Supervised Hard Attention (SSHA); pretrained on Deepmind Kinetics datasetAccuracy90.4—Unverified
3Human Skeletons + Change DetectionAccuracy90.25—Unverified
4Separable Convolutional LSTMAccuracy89.75—Unverified
5SPIL ConvolutionAccuracy89.3—Unverified
6Flow Gated NetworkAccuracy87.25—Unverified
#ModelMetricClaimedVerifiedStatus
1FocusCLIPTop-3 Accuracy (%)10.47—Unverified
2CLIPTop-3 Accuracy (%)6.49—Unverified
#ModelMetricClaimedVerifiedStatus
1Boutaleb et al.1:1 Accuracy97.91—Unverified
#ModelMetricClaimedVerifiedStatus
1all-landmark-modelActivity Recognition0.76—Unverified