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Chengxiang Fan

2 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.CV2

identity via Semantic Scholar / OpenAlex

most citedSegPrompt: Boosting Open-world Segmentation via Category-level Prompt Learning

1 citations · 2 across the 2 of their papers we have counts for

collaborators

3 papers

cs.CV2024★ 1 cited

Generative Active Learning for Long-tailed Instance Segmentation

Muzhi Zhu, Chengxiang Fan, Hao Chen +4

Recently, large-scale language-image generative models have gained widespread attention and many works have utilized generated data from these models to further enhance the perform…

cs.CV2023★ 1 cited

SegPrompt: Boosting Open-world Segmentation via Category-level Prompt Learning

Muzhi Zhu, Hengtao Li, Hao Chen +5

Current closed-set instance segmentation models rely on pre-defined class labels for each mask during training and evaluation, largely limiting their ability to detect novel object…

cs.CV2023★ 1 cited

CTVIS: Consistent Training for Online Video Instance Segmentation

Kaining Ying, Qing Zhong, Weian Mao +7

The discrimination of instance embeddings plays a vital role in associating instances across time for online video instance segmentation (VIS). Instance embedding learning is direc…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.