Download Unsupervised Domain Adaptation with Noise Resistible Mutual-Training for Person Re-identification

Queue processing for download document Unsupervised domain adaptation (UDA) in the task of person re-identification (re-ID) is highly challenging due to large domain divergence and no class overlap between domains. Pseudo-label based self-training is one of the representative techniques to add

You can start your download in 30 seconds

Recommend Documents
Unsupervised Domain Adaptation for Person Re-Identification with Few and Unlabeled Target Data

167 93 149MB

Unsupervised Deep Domain Adaptation for Pedestrian Detection

217 62 2MB

Unsupervised Domain Adaptation with Regularized Domain Instance Denoising

154 22 161MB

Nonlinear Embedding Transform for Unsupervised Domain Adaptation

160 101 161MB

Test-Time Unsupervised Domain Adaptation

172 93 126MB

Unsupervised domain adaptation with adversarial distribution adaptation network

176 51 965KB

Canonical Correlation Cross-Domain Alignment for Unsupervised Domain Adaptation

242 65 65MB

Unsupervised Domain Adaptation in the Dissimilarity Space for Person Re-identification

188 25 136MB

Unsupervised Graph Domain Adaptation for Neurodevelopmental Disorders Diagnosis

177 102 154MB

Instance Adaptive Self-training for Unsupervised Domain Adaptation

177 90 186MB

Spatial Attention Pyramid Network for Unsupervised Domain Adaptation

214 22 193MB

Low-Rank Subspace Override for Unsupervised Domain Adaptation

181 60 24MB