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Danail Stoyanov | Nicolas Padoy | Gui-Bin Bian | Fucang Jia | Zhen-Liang Ni | Christos Bergeles | Lyndon da Cruz | Chinedu Innocent Nwoye | Hongyu Chen | Rahim Mohammadi | Bharat Giddwani | Imanol Luengo | Ren Hongliang | Debesh Jha | Pal Halvorsen | Sophia Bano | Deepak Alapatt | Maria Grammatikopoulou | Haojie Wang | Theodoros Pissas | Haili Ye | Lu Wang | Michael A. Riegler | Guotai Wang | Jiacheng Wang | Zeng-Guang Hou | Chen-Chen Fan | Chris Walsh | Heonjin Ha | Dong Guo | Mobarakol Islam | Claudio Ravasio Martin Huber | Jeremy Birch | Joan M.Nunez Do Rio | Nikhil KumarTomar | Uddhav Vaghela | Jianyuan Hong | Feihong Huang | Da-Han Wang
[1] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[2] Chongruo Wu,et al. ResNeSt: Split-Attention Networks , 2020, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[3] Danail Stoyanov,et al. CaDIS: Cataract Dataset for Image Segmentation , 2019, ArXiv.
[4] C. Hudelot,et al. Semi-Supervised Semantic Segmentation With Cross-Consistency Training , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[5] Saruar Alam,et al. Automatic Polyp Segmentation Using U-Net-ResNet50 , 2020, MediaEval.
[6] Yang Zhao,et al. Deep High-Resolution Representation Learning for Visual Recognition , 2019, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[7] Hongliang Ren,et al. Learning Where to Look While Tracking Instruments in Robot-assisted Surgery , 2019, MICCAI.
[8] Matthew B. Blaschko,et al. The Lovasz-Softmax Loss: A Tractable Surrogate for the Optimization of the Intersection-Over-Union Measure in Neural Networks , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[9] Shuicheng Yan,et al. Dual Path Networks , 2017, NIPS.
[10] L. Maier-Hein,et al. 2018 Robotic Scene Segmentation Challenge , 2020, ArXiv.
[11] Jun Fu,et al. Dual Attention Network for Scene Segmentation , 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[12] Zhuowen Tu,et al. Aggregated Residual Transformations for Deep Neural Networks , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[13] Mark Sandler,et al. MobileNetV2: Inverted Residuals and Linear Bottlenecks , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[14] Yuning Jiang,et al. Unified Perceptual Parsing for Scene Understanding , 2018, ECCV.
[15] Jiaying Liu,et al. Adaptive Batch Normalization for practical domain adaptation , 2018, Pattern Recognit..
[16] Xiao-Liang Xie,et al. Pyramid Attention Aggregation Network for Semantic Segmentation of Surgical Instruments , 2020, AAAI.
[17] George Papandreou,et al. Rethinking Atrous Convolution for Semantic Image Segmentation , 2017, ArXiv.
[18] Hongliang Ren,et al. ST-MTL: Spatio-Temporal multitask learning model to predict scanpath while tracking instruments in robotic surgery , 2020, Medical Image Anal..
[19] Lena Maier-Hein,et al. 2017 Robotic Instrument Segmentation Challenge , 2019, ArXiv.
[20] Satoshi Kondo,et al. CATARACTS: Challenge on automatic tool annotation for cataRACT surgery , 2019, Medical Image Anal..
[21] Ross B. Girshick,et al. LVIS: A Dataset for Large Vocabulary Instance Segmentation , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[22] Xilin Chen,et al. Object-Contextual Representations for Semantic Segmentation , 2019, ECCV.
[23] Stephen Lin,et al. Deformable ConvNets V2: More Deformable, Better Results , 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[24] Quoc V. Le,et al. EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks , 2019, ICML.
[25] Thomas de Lange,et al. ResUNet++: An Advanced Architecture for Medical Image Segmentation , 2019, 2019 IEEE International Symposium on Multimedia (ISM).