SOTAVerified

Human Activity Recognition

Classify various human activities

Papers

Showing 531540 of 744 papers

TitleStatusHype
Deep Positive Unlabeled Learning with a Sequential Bias0
Invariant Feature Learning for Sensor-based Human Activity Recognition0
FedHome: Cloud-Edge based Personalized Federated Learning for In-Home Health Monitoring0
Contrastive Predictive Coding for Human Activity Recognition0
Transfer Learning for Human Activity Recognition using Representational Analysis of Neural Networks0
Federated Learning with Heterogeneous Labels and Models for Mobile Activity Monitoring0
MEVA: A Large-Scale Multiview, Multimodal Video Dataset for Activity Detection0
A compact sequence encoding scheme for online human activity recognition in HRI applications0
LaHAR: Latent Human Activity Recognition using LDACode0
Yet it moves: Learning from Generic Motions to Generate IMU data from YouTube videos0
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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