Camouflage object detection
WebCamouflage definition, the act, means, or result of obscuring things to deceive an enemy, as by painting or screening objects so that they are lost to view in the background, or by … WebIn this paper, we propose a novel boundary-guided network to address this challenging problem in a coarse-to-fine manner. Specifically, we design a locating module to infer the initial location of the camouflaged objects by exploiting local detailed cues and global contextual information. Moreover, a boundary-guided fusion module is proposed to ...
Camouflage object detection
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WebMar 13, 2024 · Deep Gradient Network for Camouflaged Object Detection (MIR 2024). Code using PyTorch & Jittor & Huawei-Ascend frameworks are available. deep-learning … WebThe nanostructure composed of nanomaterials and subwavelength units offers flexible design freedom and outstanding advantages over conventional devices. In this paper, a multifunctional nanostructure with phase-change material (PCM) is proposed to achieve tunable infrared detection, radiation cooling and infrared (IR)-laser compatible …
WebCVF Open Access WebAug 1, 2024 · Camouflage object detection (COD) aims to detect camouflaged objects hidden in the background region in an image. The difficulty of COD lies in the fact that camouflaged objects are often...
WebTo overcome the difficulty of object detection caused by nonobvious shadow, Chen et al. proposed a detection method based on the image grey value feature, which ... the … WebApr 6, 2024 · 2.1 Camouflaged object detection. Similar with other computer vision tasks, traditional COD approaches mainly resort to handcrafted low-level features (e.g., edge [], color [], 3D convex [], and texture []) to locate the camouflaged objects.However, the low-level appearance cues can be undermined in camouflage to hoax the visual perceptual …
WebCVF Open Access
WebApr 10, 2024 · Camouflaged object detection (COD) involves identifying objects that are seamlessly integrated into their surroundings and has numerous practical applications in fields such as medicine, art, and agriculture. ... the COD task and evaluate the performance of SAM on the COD benchmark by employing maximum segmentation evaluation and … philosoph levyWebDec 25, 2024 · Moving object detection and tracking have various applications, including surveillance, anomaly detection, vehicle navigation, etc. The literature on object detection and tracking is rich enough, and several essential survey papers exist. However, the research on camouflage object detection and tracking limited due to the complexity of … philosoph john lockeWebDec 25, 2024 · Moving object detection and tracking have various applications, including surveillance, anomaly detection, vehicle navigation, etc. The literature on object … philosophizing with a hammerWebCubeNet: X-shape connection for camouflaged object detection. Mingchen Zhuge, Xiankai Lu, Yiyou Guo, Zhihua Cai, Shuhan Chen. Paper / Code. 2024. PR. Fast Camouflaged Object Detection via Edge-based Reversible Re-calibration Network. Ge-Peng Ji, Lei Zhu, Mingchen Zhuge, Keren Fu. philosoph matthias burchardtWebApr 6, 2024 · 2.1 Camouflaged object detection. Similar with other computer vision tasks, traditional COD approaches mainly resort to handcrafted low-level features (e.g., edge [], … philosoph martin heideggerWebTo address this problem, a camouflage object detection method based on deep learning is proposed. The suggested method can detect camouflaged object which can extract deep features automatically. It can also provide detection probability which … philosoph michael andrickWebFeb 20, 2024 · Can you find the concealed object(s) in each image of Fig. 1 within 10 seconds? Biologists refer to this as background matching camouflage (BMC) [], where one or more objects attempt to adapt their coloring to match “seamlessly” with the surroundings in order to avoid detection [].Sensory ecologists [] have found that this BMC strategy … philosophi疆 naturalis principia mathematica