Learning dense visual representations without labels is an arduous task and more so from
scene-centric data. We propose to tackle this challenging problem by proposing a Cross …

In the field of intelligent multimedia analysis, ultra-fine-grained visual categorization (Ultra-
FGVC) plays a vital role in distinguishing intricate subcategories within broader categories …

Most self-supervised methods for representation learning leverage a cross-view consistency
objective ie, they maximize the representation similarity of a given image's augmented …

Leveraging nearest neighbor retrieval for self-supervised representation learning has
proven beneficial with object-centric images. However, this approach faces limitations when …

Due to the high complexity and technical requirements of industrial production processes,
surface defects will inevitably appear, which seriously affects the quality of products …