Segmentations from extreme clicks.

Grabcut [101] rectangles use bounding-box only initialization as a reference baseline. Grabcut Extr is based on the improved GC initialization from [88] with small modifications: (a) we compute the minimum cost boundary with the cost as the negative log probability of a pixel belonging to an edge; (b) in addition to clamping the morphological skeleton, we also clamp the extreme points centroid as well as the extreme points; (c) we compute the GC directly on the RGB image. DEXTR [98] Pascal-SBD and COCO are pretrained DEXTR ResNet101 models on the respective datasets. Note that Pascal-SBD and COCO are natural image datasets of objects, but DEXTR transfers surprisingly well across both visual domains (paintings vs. photos) and annotation categories (materials vs. objects).