Abstract: Few-shot industrial defect segmentation (FIDS) is an extremely challenging task in industrial inspection, which focuses on segmenting unseen defect categories with only a few samples.
Abstract: In federated learning, textual prompt tuning adapts Vision-Language Models (e.g., CLIP) by tuning lightweight input tokens (or prompts) on local client data, while keeping network weights ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results