Rethinking feature aggregation for deep RGB-D salient object detection-Reference-Cited by-同舟云学术

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Rethinking feature aggregation for deep RGB-D salient object detection

Published:2021-01 Issue: Volume:423 Page:463-473
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Zhang Yuan-fang,Zheng Jiangbin,Li Long,Liu Nian,Jia Wenjing,Fan Xiaochen,Xu Chengpei,He Xiangjian

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference61 articles.

1. Leveraging prior-knowledge for weakly supervised object detection under a collaborative self-paced curriculum learning framework;Zhang;Int. J. Computer Vision,2019

2. Saliency-aware video object segmentation;Wang;IEEE Trans. Pattern Anal. Mach. Intell.,2017

3. Stc: A simple to complex framework for weakly-supervised semantic segmentation;Wei;IEEE Trans. Pattern Anal. Mach. Intell.,2017

4. A. Chaudhry, P.K. Dokania, P.H.S. Torr, Discovering class-specific pixels for weakly-supervised semantic segmentation, in: British Machine Vision Conference, 2017.

5. A deep network solution for attention and aesthetics aware photo cropping;Wang;IEEE Trans. Pattern Anal. Mach. Intell.,2019

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1. Underwater variable zoom: Depth-guided perception network for underwater image enhancement;Expert Systems with Applications;2025-01

2. Unifying convolution and transformer: a dual stage network equipped with cross-interactive multi-modal feature fusion and edge guidance for RGB-D salient object detection;Journal of Ambient Intelligence and Humanized Computing;2024-03-02

3. Spatial–Frequency Dual-Domain Feature Fusion Network for Low-Light Remote Sensing Image Enhancement;IEEE Transactions on Geoscience and Remote Sensing;2024

4. UMINet: a unified multi-modality interaction network for RGB-D and RGB-T salient object detection;The Visual Computer;2023-04-25

5. Clothing Style Recognition and Design by Using Feature Representation and Collaboration Learning;International Journal of e-Collaboration;2023-01-27

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