Unsupervised Intra-domain Adaptation for Semantic Segmentation

Unsupervised Intra-domain Adaptation for Semantic Segmentation 을 읽고 간략하게 정리한 글입니다.


Unsupervised Intra-domain Adaptation for Semantic Segmentation

  • automatically annotated data has a problem.
    • synthetic data -> real data
    • directly adapting models from the source data to the unlabeled target data (to reduce the inter-domain gap)
    • But result? ==> bad :(
      • there is the large distribution gap among the target data itself(intra-domain gap)

Approach

스크린샷 2020-12-22 오전 12 44 17

two-step self-supervised domain adaptation approach to minimize the inter-domain and intra-domain gap together.

  1. inter-domain gap
    separate the target domain into an easy & hard split (using entropy-based ranking function)
  2. intra-domain gap
    self-supervised adaption from the easy to hard split
    • segmentation predictions of easy split data (from G_inter) => pseudo labels 로 사용
    • Given easy split data & pseudo labels, hard split data => D_intra는 easy? hard? 판별

Results

스크린샷 2020-12-22 오전 12 46 37