Learning to Cluster for Proposal-Free Instance Segmentation

17 Mar 2018 Yen-Chang Hsu Zheng Xu Zsolt Kira Jiawei Huang

This work proposed a novel learning objective to train a deep neural network to perform end-to-end image pixel clustering. We applied the approach to instance segmentation, which is at the intersection of image semantic segmentation and object detection... (read more)

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Results from the Paper


TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT BENCHMARK
Lane Detection TuSimple Pairwise pixel supervision + FCN Accuracy 96.50% # 5
F1 score 94.31 # 16

Methods used in the Paper


METHOD TYPE
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