Mask-and-Edge Co-Guided Separable Network for Camouflaged Object Detection
Author:
Affiliation:
1. College of Artificial Intelligence, Nankai University, Tianjin, China
Funder
National Natural Science Foundation of China
Tianjin Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Applied Mathematics,Electrical and Electronic Engineering,Signal Processing
Link
http://xplorestaging.ieee.org/ielx7/97/10036333/10163250.pdf?arnumber=10163250
Reference42 articles.
1. Fast Camouflaged Object Detection via Edge-based Reversible Re-calibration Network
2. Saliency filters: Contrast based filtering for salient region detection
3. D$^{2}$C-Net: A Dual-Branch, Dual-Guidance and Cross-Refine Network for Camouflaged Object Detection
4. How to Evaluate Foreground Maps
5. Camouflaged Object Segmentation with Distraction Mining
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1. Mscnet: Mask stepwise calibration network for camouflaged object detection;The Journal of Supercomputing;2024-07-27
2. Weighted Dense Semantic Aggregation and Explicit Boundary Modeling for Camouflaged Object Detection;IEEE Sensors Journal;2024-07-01
3. Support-Query Mutual Promotion and Classification Correction Network for Few-Shot Object Detection;IEEE Signal Processing Letters;2024
4. Camouflaged Instance Segmentation From Global Capture to Local Refinement;IEEE Signal Processing Letters;2024
5. FINet: Frequency Injection Network for Lightweight Camouflaged Object Detection;IEEE Signal Processing Letters;2024
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