Video Shadow Detection

Description from the archive archive 2025-07-28.

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Most implemented papers archive 2025-07-28

7 shown of 7 papers with code (10 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• When SAM2 Meets Video Shadow and Mirror Detection
  26 Dec 2024 1 repository listed
  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 video segmentation.
• Unveiling Deep Shadows: A Survey and Benchmark on Image and Video Shadow Detection, Removal, and Generation in the Deep Learning Era
  3 Sep 2024 1 repository listed
  Shadows are created when light encounters obstacles, resulting in regions of reduced illumination.
• Timeline and Boundary Guided Diffusion Network for Video Shadow Detection
  21 Aug 2024 1 repository listed
  Moreover, we are the first to introduce the Diffusion model for VSD in which we explore a Space-Time Encoded Embedding (STEE) to inject the temporal guidance for Diffusion to conduct shadow detection.
• Language-Driven Interactive Shadow Detection
  16 Aug 2024 1 repository listed
  Based on this dataset, we propose a Referring Shadow-Track Memory Network (RSM-Net) for addressing the RVSD task.
• Detect Any Shadow: Segment Anything for Video Shadow Detection
  26 May 2023 1 repository listed
  Segment anything model (SAM) has achieved great success in the field of natural image segmentation.
• Video Shadow Detection via Spatio-Temporal Interpolation Consistency Training
  17 Jun 2022 1 repository listed
  Our proposed approach is extensively validated on the ViSha dataset and a self-annotated dataset.
• Triple-cooperative Video Shadow Detection
  11 Mar 2021 1 repository listed Syntology ran 1 of 5 samples · 4 unverified · 5 pointer-only (licence)
  The bottleneck is the lack of a well-established dataset with high-quality annotations for video shadow detection.

Syntology lines on 1 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.