Unsupervised object discovery with pseudo label generated using K-means and self-supervised transformer
ST Lim, JE Park, MY Lee, HC Lee - Neurocomputing, 2023 - Elsevier
Instance segmentation is a fundamental task in the field of computer vision. It aims to assign
every pixel to an appropriate class and localize objects within bounding boxes. However …
every pixel to an appropriate class and localize objects within bounding boxes. However …
Partitioned Saliency Ranking with Dense Pyramid Transformers
In recent years, saliency ranking has emerged as a challenging task focusing on assessing
the degree of saliency at instance-level. Being subjective, even humans struggle to identify …
the degree of saliency at instance-level. Being subjective, even humans struggle to identify …
Annotate less but perform better: weakly supervised shadow detection via label augmentation
Shadow detection is essential for scene understanding and image restoration. Existing
paradigms for producing shadow detection training data usually rely on densely labeling …
paradigms for producing shadow detection training data usually rely on densely labeling …