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Dec 16, 2022 · A ResNet is employed to enable learning fine-grained spatial local details in multiple scales. Then, to effectively retrieve object-related ...
Our method detects camouflaged objects with an effective fusion strategy, which aggregates the rich context information from a large receptive field. All of ...
It is argued that partial activation is caused by the intrinsic characteristics of CNN, where the convolution operations produce local receptive regions and ...
This is the official implementaion of paper DQnet: Cross-Model Detail Querying for Camouflaged Object Detection. Illustration. With the contextual ...
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Dec 19, 2022 · Camouflaged objects are seamlessly blended in with their surroundings, which brings a challenging detection task in computer vision.
DQnet: Cross-Model Detail Querying for Camouflaged Object Detection ... camouflaged object detection (COD) tends to activate local discriminative ...
Mar 26, 2023 · 2022-12-16). DQnet: Cross-Model Detail Querying for Camouflaged Object Detection. Wei Sun et al. arXiv:2102.02996 [cs.CV] (Published 2021-02 ...
Jul 21, 2023 · DQnet: Cross-Model Detail Querying for Camouflaged Object Detection. DQnet:伪装目标检测中的跨模型细节查询. 论文地址:https://arxiv.org/abs/ ...
Mar 4, 2024 · Abstract. Camouflaged object detection (COD) aims to search and identify disguised objects that are hidden in their surrounding environment, ...