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 101–150 of 1322 papers

TitleStatusHype
Classification of Abnormal Hand Movement for Aiding in Autism Detection: Machine Learning StudyCode1
Skeleton-based Group Activity Recognition via Spatial-Temporal Panoramic GraphCode1
3D Human Shape and Pose from a Single Low-Resolution Image with Self-Supervised LearningCode1
Spatio-Temporal Dynamic Inference Network for Group Activity RecognitionCode1
TASAR: Transfer-based Attack on Skeletal Action RecognitionCode1
Temporal Action Localization for Inertial-based Human Activity RecognitionCode1
Time Series Segmentation Applied to a New Data Set for Mobile Sensing of Human ActivitiesCode1
Towards Continual Egocentric Activity Recognition: A Multi-modal Egocentric Activity Dataset for Continual LearningCode1
Transfer Learning for Pose Estimation of Illustrated CharactersCode1
Transformer Networks for Data Augmentation of Human Physical Activity RecognitionCode1
CALDA: Improving Multi-Source Time Series Domain Adaptation with Contrastive Adversarial LearningCode1
Wearable-based Human Activity Recognition with Spatio-Temporal Spiking Neural NetworksCode1
Autoregressive Adaptive Hypergraph Transformer for Skeleton-based Activity RecognitionCode1
Challenges in Multi-centric Generalization: Phase and Step Recognition in Roux-en-Y Gastric Bypass SurgeryCode1
Convolutional Tensor-Train LSTM for Spatio-temporal LearningCode1
Hard No-Box Adversarial Attack on Skeleton-Based Human Action Recognition with Skeleton-Motion-Informed GradientCode1
Generating Virtual On-body Accelerometer Data from Virtual Textual Descriptions for Human Activity RecognitionCode1
Fine-Grained Egocentric Hand-Object Segmentation: Dataset, Model, and ApplicationsCode1
Finding Order in Chaos: A Novel Data Augmentation Method for Time Series in Contrastive LearningCode1
Learning Disentangled Behaviour Patterns for Wearable-based Human Activity RecognitionCode1
DANA: Dimension-Adaptive Neural Architecture for Multivariate Sensor DataCode1
CubeLearn: End-to-end Learning for Human Motion Recognition from Raw mmWave Radar SignalsCode1
SeCo: Exploring Sequence Supervision for Unsupervised Representation LearningCode1
Anomaly Recognition from surveillance videos using 3D Convolutional Neural Networks—0
Anomaly detection and regime searching in fitness-tracker data—0
Adaptive Activity Monitoring with Uncertainty Quantification in Switching Gaussian Process Models—0
Adaptation of Surgical Activity Recognition Models Across Operating Rooms—0
An Interval-Based Bayesian Generative Model for Human Complex Activity Recognition—0
ActiLabel: A Combinatorial Transfer Learning Framework for Activity Recognition—0
An Interpretable Machine Vision Approach to Human Activity Recognition using Photoplethysmograph Sensor Data—0
AdaFPP: Adapt-Focused Bi-Propagating Prototype Learning for Panoramic Activity Recognition—0
A Critical Analysis on Machine Learning Techniques for Video-based Human Activity Recognition of Surveillance Systems: A Review—0
An Intelligent Non-Invasive Real Time Human Activity Recognition System for Next-Generation Healthcare—0
An Integrated Approach to Crowd Video Analysis: From Tracking to Multi-level Activity Recognition—0
Actor-Transformers for Group Activity Recognition—0
A Causality-Aware Pattern Mining Scheme for Group Activity Recognition in a Pervasive Sensor Space—0
Attention-Based Sensor Fusion for Human Activity Recognition Using IMU Signals—0
An Information-rich Sampling Technique over Spatio-Temporal CNN for Classification of Human Actions in Videos—0
A new network-based algorithm for human activity recognition in video—0
Differential Recurrent Neural Network and its Application for Human Activity Recognition—0
An Event Calculus Production Rule System for Reasoning in Dynamic and Uncertain Domains—0
A Neurorobotics Approach to Behaviour Selection based on Human Activity Recognition—0
Activity Recognition with Moving Cameras and Few Training Examples: Applications for Detection of Autism-Related Headbanging—0
Attend And Discriminate: Beyond the State-of-the-Art for Human Activity Recognition using Wearable Sensors—0
An end-to-end (deep) neural network applied to raw EEG, fNIRs and body motion data for data fusion and BCI classification task without any pre-/post-processing—0
An Efficient Data Imputation Technique for Human Activity Recognition—0
Activity recognition using ST-GCN with 3D motion data—0
Activity Recognition Using A Combination of Category Components And Local Models for Video Surveillance—0
Analyzing and Exploiting NARX Recurrent Neural Networks for Long-Term Dependencies—0
A compressive multi-kernel method for privacy-preserving machine learning—0
Show:102550
← PrevPage 3 of 27Next →
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