See-Through-Text Grouping for Referring Image Segmentation

ICCV 2019 Ding-Jie Chen Songhao Jia Yi-Chen Lo Hwann-Tzong Chen Tyng-Luh Liu

Motivated by the conventional grouping techniques to image segmentation, we develop their DNN counterpart to tackle the referring variant. The proposed method is driven by a convolutional-recurrent neural network (ConvRNN) that iteratively carries out top-down processing of bottom-up segmentation cues... (read more)

PDF Abstract


No code implementations yet. Submit your code now

Results from the Paper

  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.