GroupViT is a framework for learning semantic segmentation purely from text captions without using any mask supervision. It learns to perform bottom-up heirarchical spatial grouping of ...

We propose MaskCut approach to generate pseudo-masks for multiple objects in an image. CutLER can learn unsupervised object detectors and instance segmentors solely on ImageNet-1K. CutLER exhibits ...