UnSeg: One Universal Unlearnable Example Generator is Enough against All
Image Segmentation
UnSeg: One Universal Unlearnable Example Generator is Enough against All
Image Segmentation
Image segmentation is a crucial vision task that groups pixels within an image into semantically meaningful segments, which is pivotal in obtaining a fine-grained understanding of real-world scenes. However, an increasing privacy concern exists regarding training large-scale image segmentation models on unauthorized private data. In this work, we exploit the …