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

Showing 10511100 of 1322 papers

TitleStatusHype
Poselet Key-Framing: A Model for Human Activity Recognition0
PosePilot: An Edge-AI Solution for Posture Correction in Physical Exercises0
Pose Uncertainty Aware Movement Synchrony Estimation via Spatial-Temporal Graph Transformer0
Post-training Iterative Hierarchical Data Augmentation for Deep Networks0
Pragmatic classification of movement primitives for stroke rehabilitation0
Predicting Human Depression with Hybrid Data Acquisition utilizing Physical Activity Sensing and Social Media Feeds0
Predicting User-specific Future Activities using LSTM-based Multi-label Classification0
PresSim: An End-to-end Framework for Dynamic Ground Pressure Profile Generation from Monocular Videos Using Physics-based 3D Simulation0
PressureTransferNet: Human Attribute Guided Dynamic Ground Pressure Profile Transfer using 3D simulated Pressure Maps0
Privacy in Multimodal Federated Human Activity Recognition0
Privacy-Preserving Action Recognition for Smart Hospitals using Low-Resolution Depth Images0
Privacy-Preserving Eye-tracking Using Deep Learning0
Privacy-Preserving Human Activity Recognition from Extreme Low Resolution0
PrivHAR: Recognizing Human Actions From Privacy-preserving Lens0
Probabilistic Sensor Fusion for Ambient Assisted Living0
Probing Fine-Grained Action Understanding and Cross-View Generalization of Foundation Models0
Process-aware Human Activity Recognition0
Process Optimization and Deployment for Sensor-Based Human Activity Recognition Based on Deep Learning0
Progress Estimation and Phase Detection for Sequential Processes0
Progressive Relation Learning for Group Activity Recognition0
POND: Multi-Source Time Series Domain Adaptation with Information-Aware Prompt Tuning0
PromptGAR: Flexible Promptive Group Activity Recognition0
Provable Robustness for Streaming Models with a Sliding Window0
Provably Secure Federated Learning against Malicious Clients0
Pyramid Recurrent Neural Networks for Multi-Scale Change-Point Detection0
Qiniu Submission to ActivityNet Challenge 20180
Question Type Guided Attention in Visual Question Answering0
randomHAR: Improving Ensemble Deep Learners for Human Activity Recognition with Sensor Selection and Reinforcement Learning0
Random Projections and Natural Sparsity in Time-Series Classification: A Theoretical Analysis0
Ranking the Top-K Realizations of Stochastically Known Event Logs0
RAPID: Retrofitting IEEE 802.11ay Access Points for Indoor Human Detection and Sensing0
Rate-Invariant Analysis of Trajectories on Riemannian Manifolds with Application in Visual Speech Recognition0
Ratio Utility and Cost Analysis for Privacy Preserving Subspace Projection0
REACT: Recognize Every Action Everywhere All At Once0
Real-Time Activity Recognition and Intention Recognition Using a Vision-based Embedded System0
Real-time Aerial Detection and Reasoning on Embedded-UAVs0
Real-time Human Activity Recognition Using Conditionally Parametrized Convolutions on Mobile and Wearable Devices0
Real-time Monitoring of Lower Limb Movement Resistance Based on Deep Learning0
RecLight: A Recurrent Neural Network Accelerator with Integrated Silicon Photonics0
Recognition and Prediction of Surgical Gestures and Trajectories Using Transformer Models in Robot-Assisted Surgery0
Recognition of Physiological Patterns during Activities of Daily Living Using Wearable Biosignal Sensors0
Recognize Human Activities from Partially Observed Videos0
Recognizing Activities of Daily Living from Egocentric Images0
Recognizing Activities via Bag of Words for Attribute Dynamics0
Recognizing Fine-Grained and Composite Activities using Hand-Centric Features and Script Data0
Recognizing Plans by Learning Embeddings from Observed Action Distributions0
Recurrent Modeling of Interaction Context for Collective Activity Recognition0
Redundant feature screening method for human activity recognition based on attention purification mechanism0
ReHAR: Robust and Efficient Human Activity Recognition0
Relevance Topic Model for Unstructured Social Group Activity Recognition0
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Benchmark Results

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