Apr 3, 2018 · We observed that local maximums, i.e., peaks, in a class response map typically correspond to strong visual cues residing inside each instance.

In this paper, we explore the challenging problem of training CNNs with image-level weak supervision for instance-level semantic segmentation (instance segmenta ...

Weakly Supervised Instance Segmentation using Class Peak Response, in CVPR 2018 (Spotlight) - ZhouYanzhao/PRM.

This paper addresses the challenging image-level supervised instance segmentation task by exploiting class peak responses to enable a classification network ...

Weakly supervised instance segmentation with image-level labels, instead of expensive pixel-level masks, remains unexplored. In this paper, we tackle this ...

Weakly supervised instance segmentation with image- level labels, instead of expensive pixel-level masks, remains unexplored. In this paper, we tackle this ...

Motivated by this, we first design a process to stimulate peaks to emerge from a class response map. The emerged peaks are then back-propagated and effectively ...

Zhou et al. (2018) [25] proposed a promising method for weakly supervised instance segmentation using only class labels of objects appearing in an image.

Weakly supervised segmentation methods using bounding box annotations focus on obtaining a pixel-level mask from each box containing an object. 1.

Oct 25, 2019 · Object Counting and Instance Segmentation With Image-Level Supervision. “Weakly Supervised Instance Segmentation using Class Peak Response” ...