SOTAVerified

Human Activity Recognition

Classify various human activities

Papers

Showing 611620 of 744 papers

TitleStatusHype
Generating Fair Universal Representations using Adversarial Models0
Sign Language Recognition Analysis using Multimodal Data0
A Lightweight Deep Learning Model for Human Activity Recognition on Edge Devices0
Human activity recognition from skeleton posesCode0
MEx: Multi-modal Exercises Dataset for Human Activity RecognitionCode0
Multi-task Self-Supervised Learning for Human Activity Detection0
Multiple Human Association between Top and Horizontal Views by Matching Subjects' Spatial Distributions0
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-processing0
Human Body Parts Tracking: Applications to Activity Recognition0
An IoT Based Framework For Activity Recognition Using Deep Learning TechniqueCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Dual-Stream C3DAccuracy (Top-1)71.06Unverified
2C3DAccuracy (Top-1)70.3Unverified
3Dual-Stream ConvNetAccuracy (Top-1)62.77Unverified
4SlowFast (101)Accuracy (Top-1)45.28Unverified
#ModelMetricClaimedVerifiedStatus
1ESTIE + VGG16 (transfer-learning)Accuracy95.22Unverified
2STIE + VGG16 (transfer-learning)Accuracy94.77Unverified
3STIE + VGG16(fine-tuning)Accuracy86.81Unverified
#ModelMetricClaimedVerifiedStatus
1AFVFAccuracy0.97Unverified
2Selective HAR ClusteringNMI0.88Unverified
3Unsupervised embedding learning for human activity recognition using wearable sensor dataNMI0.87Unverified
#ModelMetricClaimedVerifiedStatus
1LMSSAccuracy1Unverified
2AFVFAccuracy0.99Unverified
#ModelMetricClaimedVerifiedStatus
1Label-RankerAccuracy61.18Unverified
#ModelMetricClaimedVerifiedStatus
1unsupervised statistical feature guided diffusion modelF1 - macro0.44Unverified
#ModelMetricClaimedVerifiedStatus
1DIAT-RadHARNet1:1 Accuracy99.22Unverified
#ModelMetricClaimedVerifiedStatus
1Label-RankerAccuracy89.5Unverified