Can SAM Segment Anything? When SAM Meets Camouflaged Object Detection
暂无分享,去创建一个
Bo Li | Lv Tang | Haoke Xiao
[1] L. Gool,et al. Deep Gradient Learning for Efficient Camouflaged Object Detection , 2022, Machine Intelligence Research.
[2] L. Shao,et al. Salient Object Detection via Integrity Learning , 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[3] Chen Gong,et al. Feature Aggregation and Propagation Network for Camouflaged Object Detection , 2022, IEEE Transactions on Image Processing.
[4] Ge-Peng Ji,et al. Camouflaged Object Detection via Context-Aware Cross-Level Fusion , 2022, IEEE Transactions on Circuits and Systems for Video Technology.
[5] Hongbo Bi,et al. TPRNet: camouflaged object detection via transformer-induced progressive refinement network , 2022, The Visual Computer.
[6] Chenglizhao Chen,et al. Boundary-Guided Camouflaged Object Detection , 2022, IJCAI.
[7] Dapeng Chen,et al. I Can Find You! Boundary-Guided Separated Attention Network for Camouflaged Object Detection , 2022, AAAI.
[8] Shuang Wu,et al. Detecting Camouflaged Object in Frequency Domain , 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[9] Xin Fan,et al. Segment, Magnify and Reiterate: Detecting Camouflaged Objects the Hard Way , 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[10] Huchuan Lu,et al. Zoom In and Out: A Mixed-scale Triplet Network for Camouflaged Object Detection , 2022, 2203.02688.
[11] Xiankai Lu,et al. CubeNet: X-shape connection for camouflaged object detection , 2022, Pattern Recognit..
[12] Keren Fu,et al. Fast Camouflaged Object Detection via Edge-based Reversible Re-calibration Network , 2021, Pattern Recognit..
[13] Ming-Ming Cheng,et al. Concealed Object Detection , 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[14] F. Yang,et al. Uncertainty-Guided Transformer Reasoning for Camouflaged Object Detection , 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).
[15] 明明 程,et al. Cognitive vision inspired object segmentation metric and loss function , 2021, SCIENTIA SINICA Informationis.
[16] Michael S. Bernstein,et al. On the Opportunities and Risks of Foundation Models , 2021, ArXiv.
[17] Tao Zhou,et al. Context-aware Cross-level Fusion Network for Camouflaged Object Detection , 2021, IJCAI.
[18] Shuo Zhang,et al. Inferring Camouflaged Objects by Texture-Aware Interactive Guidance Network , 2021, AAAI.
[19] Ling Shao,et al. Visual Saliency Transformer , 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).
[20] Xiaopeng Wei,et al. Camouflaged Object Segmentation with Distraction Mining , 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[21] Yuchao Dai,et al. Uncertainty-aware Joint Salient Object and Camouflaged Object Detection , 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[22] Chenglizhao Chen,et al. Mutual Graph Learning for Camouflaged Object Detection , 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[23] Yuchao Dai,et al. Simultaneously Localize, Segment and Rank the Camouflaged Objects , 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[24] Ilya Sutskever,et al. Learning Transferable Visual Models From Natural Language Supervision , 2021, ICML.
[25] Quoc V. Le,et al. Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision , 2021, ICML.
[26] Tao Li,et al. Structure-Measure: A New Way to Evaluate Foreground Maps , 2017, International Journal of Computer Vision.
[27] Ling Shao,et al. PraNet: Parallel Reverse Attention Network for Polyp Segmentation , 2020, MICCAI.
[28] Ling Shao,et al. Camouflaged Object Detection , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[29] Mark Chen,et al. Language Models are Few-Shot Learners , 2020, NeurIPS.
[30] D.-P. Fan,et al. Inf-Net: Automatic COVID-19 Lung Infection Segmentation From CT Images , 2020, IEEE Transactions on Medical Imaging.
[31] Trung-Nghia Le,et al. Anabranch network for camouflaged object segmentation , 2019, Comput. Vis. Image Underst..
[32] Ming-Ming Cheng,et al. IP102: A Large-Scale Benchmark Dataset for Insect Pest Recognition , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[33] Xi Cheng,et al. Pest identification via deep residual learning in complex background , 2017, Comput. Electron. Agric..
[34] Lihi Zelnik-Manor,et al. How to Evaluate Foreground Maps , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.