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We introduce GreenCOD, a green method for detecting camouflaged objects, distinct in its avoidance of backpropagation techniques.
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“You only look once: Unified, real-time object detection”
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Deng-Ping Fan et al · 2017
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“Interpretable convolutional neural networks via feedforward design”
C-C Kuo et al · 2019
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“Anabranch network for camouflaged object segmentation”
Trung-Nghia Le et al · 2019
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“Texture analysis via hierarchical spatial-spectral correlation (HSSC)”
Kaitai Zhang et al · 2019
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“Pixelhop++: A small successive-subspace-learning-based (ssl-based) model for image classification”
Yueru Chen et al · 2020
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“Camouflaged object detection”
Deng-Ping Fan et al · 2020
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“Defakehop: A light-weight high-performance deepfake detector”
Hong-Shuo Chen et al · 2021
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“Geo-defakehop: High-performance geographic fake image detection”
Hong-Shuo Chen et al · 2021
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“Concealed object detection”
Deng-Ping Fan, Ge-Peng Ji, Ming-Ming Cheng and Ling Shao · 2021
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“Cognitive vision inspired object segmentation metric and loss function”
Deng-Ping Fan, Ge-Peng Ji, Xuebin Qin and Ming-Ming Cheng · 2021
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“Uncertainty-aware joint salient object and camouflaged object detection”
Aixuan Li et al · 2021
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“Simultaneously localize, segment and rank the camouflaged objects”
Yunqiu Lv et al · 2021
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“Camouflaged object segmentation with distraction mining”
Haiyang Mei et al · 2021
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“Boundary-aware segmentation network for mobile and web applications”
Xuebin Qin et al · 2021
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“Context-aware cross-level fusion network for camouflaged object detection”
Yujia Sun et al · 2021
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“Uncertainty-guided transformer reasoning for camouflaged object detection”
Fan Yang et al · 2021
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“Mutual graph learning for camouflaged object detection”
Qiang Zhai et al · 2021
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“Inferring camouflaged objects by texture-aware interactive guidance network”
“Preynet: Preying on camouflaged objects”
Miao Zhang et al · 2022
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“TPRNet: camouflaged object detection via transformer-induced progressive refinement network”
Qiao Zhang, Yanliang Ge, Cong Zhang and Hongbo Bi · 2022
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“Detecting camouflaged object in frequency domain”
Yijie Zhong et al · 2022
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“Feature aggregation and propagation network for camouflaged object detection”
Tao Zhou et al · 2022
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“I can find you! boundary-guided separated attention network for camouflaged object detection”
Hongwei Zhu et al · 2022
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“A-pixelhop: A green, robust and explainable fake-image detector”
Yao Zhu et al · 2022
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Jinchao Zhu, Xiaoyu Zhang, Shuo Zhang and Junnan Liu · 2021
Cited alongside, same era.
“Camouflaged object detection via context-aware cross-level fusion”
Geng Chen et al · 2022
Cited alongside, same era.
“Defakehop++: An enhanced lightweight deepfake detector”
Hong-Shuo Chen, Shuowen Hu, Suya You and C-C Kuo · 2022
Cited alongside, same era.
“Fake Satellite Image Detection via Parallel Subspace Learning (PSL)”
Hong-Shuo Chen et al · 2022
Cited alongside, same era.
“Fast camouflaged object detection via edge-based reversible re-calibration network”
Ge-Peng Ji, Lei Zhu, Mingchen Zhuge and Keren Fu · 2022
Cited alongside, same era.
“Segment, magnify and reiterate: Detecting camouflaged objects the hard way”
Qi Jia et al · 2022
Cited alongside, same era.
“Modeling aleatoric uncertainty for camouflaged object detection”
Jiawei Liu, Jing Zhang and Nick Barnes · 2022
Cited alongside, same era.
“RGGID: A Robust and Green GAN-Fake Image Detector”
Yao Zhu et al · 2022
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“CubeNet: X-shape connection for camouflaged object detection”
Mingchen Zhuge et al · 2022
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“Weakly-supervised camouflaged object detection with scribble annotations”
Ruozhen He, Qihua Dong, Jiaying Lin and Rynson Lau · 2023
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“Deep gradient learning for efficient camouflaged object detection”
Ge-Peng Ji et al · 2023
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“Green learning: Introduction, examples and outlook”
C-C Kuo and Azad Madni · 2023
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“A Comprehensive Overview of Computational Nuclei Segmentation Methods in Digital Pathology”
Vasileios Magoulianitis, Catherine Alexander and C-C Kuo · 2023
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“Distraction-aware camouflaged object segmentation”
H Mei et al · 2023
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“Source-free depth for object pop-out”
Zongwei Wu et al · 2023
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“Green Steganalyzer: A Green Learning Approach to Image Steganalysis”
Yao Zhu et al · 2023
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“Subspace learning machine (SLM): Methodology and performance evaluation”
Hongyu Fu, Yijing Yang, Vinod Mishra and C-C Kuo · 2024
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