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Found 4 papers, 3 papers with code
Towards Generalizing to Unseen Domains with Few Labels
Existing domain generalization (DG) methods which are unable to exploit unlabeled data perform poorly compared to semi-supervised learning (SSL) methods under SSDG setting.
Unsupervised Landmark Discovery Using Consistency Guided Bottleneck
In the current work, we introduce a consistency-guided bottleneck in an image reconstruction-based pipeline that leverages landmark consistency, a measure of compatibility score with the pseudo-ground truth to generate adaptive heatmaps.
Exploring the Transfer Learning Capabilities of CLIP in Domain Generalization for Diabetic Retinopathy
In this study, we investigate CLIP's transfer learning capabilities and its potential for cross-domain generalization in diabetic retinopathy (DR) classification.
Dynamic Template Initialization for Part-Aware Person Re-ID
Many of the existing Person Re-identification (Re-ID) approaches depend on feature maps which are either partitioned to localize parts of a person or reduced to create a global representation.
