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 101–150 of 1322 papers

TitleStatusHype
Classification of Abnormal Hand Movement for Aiding in Autism Detection: Machine Learning StudyCode1
Efficient Two-Stream Network for Violence Detection Using Separable Convolutional LSTMCode1
3D Human Shape and Pose from a Single Low-Resolution Image with Self-Supervised LearningCode1
ESPRESSO: Entropy and ShaPe awaRe timE-Series SegmentatiOn for processing heterogeneous sensor dataCode1
SHARP: Environment and Person Independent Activity Recognition with Commodity IEEE 802.11 Access PointsCode1
Improved Actor Relation Graph based Group Activity RecognitionCode1
Exploring Contrastive Learning in Human Activity Recognition for HealthcareCode1
Wearable-based Human Activity Recognition with Spatio-Temporal Spiking Neural NetworksCode1
Human skeletons and change detection for efficient violence detection in surveillance videosCode1
What Makes Good Contrastive Learning on Small-Scale Wearable-based Tasks?Code1
Finding Order in Chaos: A Novel Data Augmentation Method for Time Series in Contrastive LearningCode1
HHAR-net: Hierarchical Human Activity Recognition using Neural NetworksCode1
Interpretable Deep Learning for the Remote Characterisation of Ambulation in Multiple Sclerosis using SmartphonesCode1
Fine-Grained Egocentric Hand-Object Segmentation: Dataset, Model, and ApplicationsCode1
Let's Play for Action: Recognizing Activities of Daily Living by Learning from Life Simulation Video GamesCode1
Challenges in Multi-centric Generalization: Phase and Step Recognition in Roux-en-Y Gastric Bypass SurgeryCode1
Generating Virtual On-body Accelerometer Data from Virtual Textual Descriptions for Human Activity RecognitionCode1
CALDA: Improving Multi-Source Time Series Domain Adaptation with Contrastive Adversarial LearningCode1
Mobile Sensor Data AnonymizationCode1
Gimme Signals: Discriminative signal encoding for multimodal activity recognitionCode1
PartImageNet: A Large, High-Quality Dataset of PartsCode1
IMU2CLIP: Multimodal Contrastive Learning for IMU Motion Sensors from Egocentric Videos and TextCode1
SWL-Adapt: An Unsupervised Domain Adaptation Model with Sample Weight Learning for Cross-User Wearable Human Activity RecognitionCode1
Hard Regularization to Prevent Deep Online Clustering Collapse without Data AugmentationCode0
An IoT Based Framework For Activity Recognition Using Deep Learning TechniqueCode0
Guidelines for Augmentation Selection in Contrastive Learning for Time Series ClassificationCode0
Hang-Time HAR: A Benchmark Dataset for Basketball Activity Recognition using Wrist-Worn Inertial SensorsCode0
Group Activity Recognition Using Joint Learning of Individual Action Recognition and People GroupingCode0
An Interactive Greedy Approach to Group Sparsity in High DimensionsCode0
SPARTAN: Self-supervised Spatiotemporal Transformers Approach to Group Activity RecognitionCode0
FedBChain: A Blockchain-enabled Federated Learning Framework for Improving DeepConvLSTM with Comparative Strategy InsightsCode0
Glimpse Clouds: Human Activity Recognition from Unstructured Feature PointsCode0
HARMamba: Efficient and Lightweight Wearable Sensor Human Activity Recognition Based on Bidirectional MambaCode0
Out-of-Distribution Representation Learning for Time Series ClassificationCode0
ActNetFormer: Transformer-ResNet Hybrid Method for Semi-Supervised Action Recognition in VideosCode0
Generalizable Low-Resource Activity Recognition with Diverse and Discriminative Representation LearningCode0
A Correlation Based Feature Representation for First-Person Activity RecognitionCode0
Generalized Relevance Learning Grassmann QuantizationCode0
Generative Pretrained Embedding and Hierarchical Irregular Time Series Representation for Daily Living Activity RecognitionCode0
Fine-grained Activity Recognition in Baseball VideosCode0
FAR: Fourier Aerial Video RecognitionCode0
An Analysis of Parallelized Motion Masking Using Dual-Mode Single Gaussian ModelsCode0
A benchmark of data stream classification for human activity recognition on connected objectsCode0
Fully Convolutional Network Bootstrapped by Word Encoding and Embedding for Activity Recognition in Smart HomesCode0
GeoERM: Geometry-Aware Multi-Task Representation Learning on Riemannian ManifoldsCode0
Analysis of Hand Segmentation in the WildCode0
Exploring Video-Based Driver Activity Recognition under Noisy LabelsCode0
Explaining Human Activity Recognition with SHAP: Validating Insights with Perturbation and Quantitative MeasuresCode0
Evaluating Spiking Neural Network On Neuromorphic Platform For Human Activity RecognitionCode0
Feature engineering workflow for activity recognition from synchronized inertial measurement unitsCode0
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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