Jul 27, 2022 · We propose a novel Context-aware Cross-level Fusion Network (C2F-Net), which fuses context-aware cross-level features for accurately identifying camouflaged ...
Abstract—Camouflaged object detection (COD) aims to iden- tify the objects that conceal themselves in natural scenes. Accurate COD suffers from a number of ...
[PDF] Context-aware Cross-level Fusion Network for Camouflaged Object ...
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Camouflaged object detection (COD) is a chal- lenging task due to the low boundary contrast be- tween the object and its surroundings. In addi-.
May 26, 2021 · In this paper, we propose a novel Context-aware Cross-level Fusion Network (C2F-Net) to address the challenging COD task.
This repository provides code for "Context-aware Cross-level Fusion Network for Camouflaged Object Detection" IJCAI-2021. Arxiv Page; The journal extension ...
A novel Context-aware Cross-level Fusion Network, which fuses context-aware cross-level features for accurately identifying camouflaged objects.
Oct 22, 2024 · Camouflaged object detection (COD) aims to identify object pixels visually embedded in the background environment. Existing deep learning ...
Oct 4, 2022 · The overall framework of our C2F-Net, including three main components, i.e., attention-induced cross-level fusion module (ACFM), dual-branch.
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What is camouflaged object detection?
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Camouflaged object detection (COD) aims to identify the objects that conceal themselves in natural scenes. Accurate COD suffers from a number of challenges ...
We propose a LFNet tailored for COD tasks. It enhances COD performance by mining fine-grained features and implementing a top-down fusion approach. •. We ...