Boundary-aware Shadow Detection via Mask Decoupling and Feature Correction-Reference-Cited by-同舟云学术

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Boundary-aware Shadow Detection via Mask Decoupling and Feature Correction

Published:2023-07 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Conference on Multimedia and Expo (ICME)
language:
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Author:

Chen Jueyu¹,Xing Guanyu²,Liao Jingwei³,Wei Housheng²,Liu Yanli¹

Affiliation:

1. Sichuan University,College of Computer Science,Chengdu,China

2. Sichuan University,National Key Lab. of Fundamental Science on Synthetic Vision,Chengdu,China

3. George Mason University,Department of Information Sciences and Technology,Fairfax,Virginia,USA

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10219544/10219545/10220001.pdf?arnumber=10220001

Reference31 articles.

1. Saliency detection by multi-context deep learning

2. Mitigating Intensity Bias in Shadow Detection via Feature Decomposition and Reweighting

3. Label Decoupling Framework for Salient Object Detection

4. PiCANet: Learning Pixel-Wise Contextual Attention for Saliency Detection

5. Aggregated Residual Transformations for Deep Neural Networks

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. ST-360: Spatial–Temporal Filtering-Based Low-Latency 360-Degree Video Analytics Framework;ACM Transactions on Multimedia Computing, Communications, and Applications;2024-09-04

2. Shadow detection using a cross-attentional dual-decoder network with self-supervised image reconstruction features;Image and Vision Computing;2024-03

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