Papers Camouflage Segmentation
“Camouflage Segmentation” 태그가 달린 논문 4편 · 필터 해제
CamoFA: A Learnable Fourier-based Augmentation for Camouflage Segmentation
Camouflaged object detection (COD) and camouflaged instance segmentation (CIS) aim to recognize and segment objects that are blended into their surroundings, respectively. While several deep neural network models have be…
Camouflage SegmentationDiversityGenerative Adversarial NetworkInstance Segmentation+3MirrorNet: Bio-Inspired Camouflaged Object Segmentation
Camouflaged objects are generally difficult to be detected in their natural environment even for human beings. In this paper, we propose a novel bio-inspired network, named the MirrorNet, that leverages both instance seg…
Camouflaged Object SegmentationCamouflage SegmentationObjectSegmentation+1PraNet: Parallel Reverse Attention Network for Polyp Segmentation
Colonoscopy is an effective technique for detecting colorectal polyps, which are highly related to colorectal cancer. In clinical practice, segmenting polyps from colonoscopy images is of great importance since it provid…
Camouflaged Object SegmentationCamouflage SegmentationDecoderMedical Image Segmentation+2Inf-Net: Automatic COVID-19 Lung Infection Segmentation from CT Images
Coronavirus Disease 2019 (COVID-19) spread globally in early 2020, causing the world to face an existential health crisis. Automated detection of lung infections from computed tomography (CT) images offers a great potent…
Camouflage SegmentationComputed Tomography (CT)Segmentation