MCFusion: infrared and visible image fusion based multiscale receptive field and cross-modal enhanced attention mechanism-Reference-Cited by-同舟云学术

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MCFusion: infrared and visible image fusion based multiscale receptive field and cross-modal enhanced attention mechanism

Published:2024-02-13 Issue:01 Volume:33 Page:
ISSN:1017-9909
Container-title:Journal of Electronic Imaging
language:
Short-container-title:J. Electron. Imag.

Author:

Jiang Min¹,Wang Zhiyuan¹,Kong Jun²,Zhuang Danfeng³

Affiliation:

1. Jiangnan University, Jiangsu Provincial Engineering Laboratory of Pattern Recognition and Computational Intelligence, Wuxi, China

2. Jiangnan University, Ministry of Education, Key Laboratory of Advanced Process Control for Light Industry, Wuxi, China

3. University of Evry, Université Paris-Saclay, IBISC, Évry-Courcouronnes, France

Publisher

SPIE-Intl Soc Optical Eng

Reference57 articles.

1. CCAFNet: Crossflow and Cross-scale Adaptive Fusion Network for Detecting Salient Objects in RGB-D Images

2. Multibranch Adaptive Fusion Network for RGBT Tracking

3. Image fusion in the loop of high-level vision tasks: A semantic-aware real-time infrared and visible image fusion network

4. Semantic Segmentation in Aerial Imagery Using Multi-level Contrastive Learning with Local Consistency

5. FusionDN: A Unified Densely Connected Network for Image Fusion

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