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Found 4 papers, 2 papers with code
Feature Diversity Learning with Sample Dropout for Unsupervised Domain Adaptive Person Re-identification
Clustering-based approach has proved effective in dealing with unsupervised domain adaptive person re-identification (ReID) tasks.
Domain Adaptive Person Re-Identification
Person Re-Identification
EHANet: An Effective Hierarchical Aggregation Network for Face Parsing
In recent years, benefiting from deep convolutional neural networks (DCNNs), face parsing has developed rapidly.
Ranked #5 on
Face Parsing
on CelebAMask-HQ
Real-time Segmentation and Facial Skin Tones Grading
Modern approaches for semantic segmention usually pay too much attention to the accuracy of the model, and therefore it is strongly recommended to introduce cumbersome backbones, which brings heavy computation burden and memory footprint.
HybridNetSeg: A Compact Hybrid Network for Retinal Vessel Segmentation
A large number of retinal vessel analysis methods based on image segmentation have emerged in recent years.
