Semantic Instance Segmentation via Deep Metric Learning

30 Mar 2017Alireza FathiZbigniew WojnaVivek RathodPeng WangHyun Oh SongSergio GuadarramaKevin P. Murphy

We propose a new method for semantic instance segmentation, by first computing how likely two pixels are to belong to the same object, and then by grouping similar pixels together. Our similarity metric is based on a deep, fully convolutional embedding model... (read more)

PDF Abstract
TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT LEADERBOARD
Object Proposal Generation PASCAL VOC 2012, 60 proposals per image inst-DML Average Recall 0.667 # 2