Pixels, Regions, and Objects: Multiple Enhancement for Salient Object Detection-Reference-Cited by-同舟云学术

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Pixels, Regions, and Objects: Multiple Enhancement for Salient Object Detection

Published:2023-06 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
language:
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Author:

Wang Yi¹,Wang Ruili²,Fan Xin¹,Wang Tianzhu²,He Xiangjian³

Affiliation:

1. DUT-RU International School of Information Science and Engineering, Dalian University of Technology,China

2. School of Mathematical and Computational Sciences, Massey University,New Zealand

3. School of Computer Science, University of Nottingham Ningbo China,Ningbo,China

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10203037/10203050/10204274.pdf?arnumber=10204274

Reference60 articles.

1. Salient Object Detection Techniques in Computer Vision—A Survey

2. Aggregating Attentional Dilated Features for Salient Object Detection

3. Generalised Wasserstein Dice Score for Imbalanced Multi-class Segmentation Using Holistic Convolutional Networks

4. Interactive Two-Stream Decoder for Accurate and Fast Saliency Detection

5. Deep Residual Learning for Image Recognition

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