Recent advances have indicated the strengths of self-supervised pre-trai...
Representation learning for sketch-based image retrieval has mostly been...
State-of-the-art deep learning models are often trained with a large amo...
High-quality calibrated uncertainty estimates are crucial for numerous
r...
Generalizing visual recognition models trained on a single distribution ...
Existing works in image retrieval often consider retrieving images with ...
Unpaired image-to-image translation refers to learning inter-image-domai...
Image-to-image translation plays a vital role in tackling various medica...
Explaining the decision of a multi-modal decision-maker requires to dete...
Having access to multi-modal cues (e.g. vision and audio) empowers some
...
Unpaired image-to-image translation refers to learning inter-image-domai...
Deep learning methods have started to dominate the research progress of
...