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

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Showing 401–450 of 1322 papers

TitleStatusHype
A Multi-Stream Convolutional Neural Network Framework for Group Activity Recognition—0
Balancing Continual Learning and Fine-tuning for Human Activity Recognition—0
DroneAttention: Sparse Weighted Temporal Attention for Drone-Camera Based Activity Recognition—0
Background Knowledge Injection for Interpretable Sequence Classification—0
A Multi-Modal Explainability Approach for Human-Aware Robots in Multi-Party Conversation—0
Activity Recognition From Newborn Resuscitation Videos—0
A Comprehensive Overview on UWB Radar: Applications, Standards, Signal Processing Techniques, Datasets, Radio Chips, Trends and Future Research Directions—0
Drive Safe: Cognitive-Behavioral Mining for Intelligent Transportation Cyber-Physical System—0
Drive&Act: A Multi-Modal Dataset for Fine-Grained Driver Behavior Recognition in Autonomous Vehicles—0
A Wireless-Vision Dataset for Privacy Preserving Human Activity Recognition—0
DOO-RE: A dataset of ambient sensors in a meeting room for activity recognition—0
Don't freeze: Finetune encoders for better Self-Supervised HAR—0
A Wi-Fi Signal-Based Human Activity Recognition Using High-Dimensional Factor Models—0
A MIMO Radar-Based Metric Learning Approach for Activity Recognition—0
Don't Explain without Verifying Veracity: An Evaluation of Explainable AI with Video Activity Recognition—0
DS-MS-TCN: Otago Exercises Recognition with a Dual-Scale Multi-Stage Temporal Convolutional Network—0
Dual-AI: Dual-path Actor Interaction Learning for Group Activity Recognition—0
Domain Generalization through Audio-Visual Relative Norm Alignment in First Person Action Recognition—0
Asymmetric Residual Neural Network for Accurate Human Activity Recognition—0
Dynamic Facial Analysis: From Bayesian Filtering to Recurrent Neural Network—0
Dynamic Feature Selection for Efficient and Interpretable Human Activity Recognition—0
Dynamic Graph Modules for Modeling Object-Object Interactions in Activity Recognition—0
A Wearable Multi-Modal Edge-Computing System for Real-Time Kitchen Activity Recognition—0
Domain Generalization for Activity Recognition via Adaptive Feature Fusion—0
DynImp: Dynamic Imputation for Wearable Sensing Data Through Sensory and Temporal Relatedness—0
Domain-Adversarial Anatomical Graph Networks for Cross-User Human Activity Recognition—0
AVD: Adversarial Video Distillation—0
EarDA: Towards Accurate and Data-Efficient Earable Activity Sensing—0
Early Improving Recurrent Elastic Highway Network—0
Early Mobility Recognition for Intensive Care Unit Patients Using Accelerometers—0
Am I fit for this physical activity? Neural embedding of physical conditioning from inertial sensors—0
Eco-Friendly Sensing for Human Activity Recognition—0
EdgeServe: A Streaming System for Decentralized Model Serving—0
Effective Human Activity Recognition Based on Small Datasets—0
Layer-wise training convolutional neural networks with smaller filters for human activity recognition using wearable sensors—0
Efficient data-driven encoding of scene motion using Eccentricity—0
EfficientFi: Towards Large-Scale Lightweight WiFi Sensing via CSI Compression—0
Efficient Multi-stream Temporal Learning and Post-fusion Strategy for 3D Skeleton-based Hand Activity Recognition—0
Efficient Retail Video Annotation: A Robust Key Frame Generation Approach for Product and Customer Interaction Analysis—0
Domain Adaptation for Inertial Measurement Unit-based Human Activity Recognition: A Survey—0
Egocentric Activity Recognition and Localization on a 3D Map—0
Egocentric Activity Recognition on a Budget—0
Automatic Operating Room Surgical Activity Recognition for Robot-Assisted Surgery—0
"Filling the Blanks'': Identifying Micro-activities that Compose Complex Human Activities of Daily Living—0
DNN Transfer Learning from Diversified Micro-Doppler for Motion Classification—0
DIVERSIFY to Generalize: Learning Generalized Representations for Time Series Classification—0
Automatic Interaction and Activity Recognition from Videos of Human Manual Demonstrations with Application to Anomaly Detection—0
Embedding Symbolic Temporal Knowledge into Deep Sequential Models—0
DIVERSIFY: A General Framework for Time Series Out-of-distribution Detection and Generalization—0
Diverse Intra- and Inter-Domain Activity Style Fusion for Cross-Person Generalization in Activity Recognition—0
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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