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Leiping Jie

3 papers here

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

author position
  • sole author1
  • first author2

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CV3
ORCID 0000-0001-9387-8477

identity via Semantic Scholar / OpenAlex

most citedWhen SAM Meets Shadow Detection

8 citations · 10 across the 3 of their papers we have counts for

collaborators

3 papers

cs.CV2024

When SAM2 Meets Video Shadow and Mirror Detection

Leiping Jie

As the successor to the Segment Anything Model (SAM), the Segment Anything Model 2 (SAM2) not only improves performance in image segmentation but also extends its capabilities to v…

cs.CV2023★ 2 cited

AdapterShadow: Adapting Segment Anything Model for Shadow Detection

Leiping Jie, Hui Zhang

Segment anything model (SAM) has shown its spectacular performance in segmenting universal objects, especially when elaborate prompts are provided. However, the drawback of SAM is…

cs.CV2023★ 8 cited

When SAM Meets Shadow Detection

Leiping Jie, Hui Zhang

As a promptable generic object segmentation model, segment anything model (SAM) has recently attracted significant attention, and also demonstrates its powerful performance. Nevert…

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