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Annotation is easy: Learning to generate a shadow mask

  • Published:2022-05 Issue: Volume:104 Page:152-161
  • ISSN:0097-8493
  • Container-title:Computers & Graphics
  • language:en
  • Short-container-title:Computers & Graphics

Author:

Wu Xian-Tao,Wang Yi,Wan Yi,Wu Wen

Funder

Shaoxing University

Xinjiang University

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Human-Computer Interaction,General Engineering

Reference47 articles.

1. Attached shadow coding: Estimating surface normals from shadows under unknown reflectance and lighting conditions;Okabe,2009

2. Multi-location wideband synthetic aperture imaging for urban sensing applications;Ahmad;J Franklin Inst B,2008

3. Estimating natural illumination from a single outdoor image;Lalonde,2009

4. Estimating geo-temporal location of stationary cameras using shadow trajectories;Junejo,2008

5. Shadow free segmentation in still images using local density measure;Ecins,2014

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1. Boosting sparsely annotated shadow detection;Applied Intelligence;2024-08-20

2. Training a shadow removal network using only 3D primitive occluders;The Visual Computer;2024-06-27

3. Omni-supervised shadow detection with vision foundation model;Journal of Visual Communication and Image Representation;2024-04

4. A reinforcement federated learning based strategy for urinary disease dataset processing;Computers in Biology and Medicine;2023-09

5. Make Segment Anything Model Perfect on Shadow Detection;IEEE Transactions on Geoscience and Remote Sensing;2023
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