On Regularized Losses for Weakly-supervised CNN Segmentation

26 March 2018

Papers citing "On Regularized Losses for Weakly-supervised CNN Segmentation"

8 / 58 papers shown

Title
Embracing Imperfect Datasets: A Review of Deep Learning Solutions for Medical Image Segmentation Nima Tajbakhsh Laura Jeyaseelan Q. Li J. Chiang Zhihao Wu Xiaowei Ding 28 751 0 27 Aug 2019
Efficient Segmentation: Learning Downsampling Near Semantic Boundaries D. Marin Zijian He Peter Vajda Priyam Chatterjee Sam S. Tsai Fei Yang Yuri Boykov SSeg 19 87 0 16 Jul 2019
Mask Based Unsupervised Content Transfer Ron Mokady Sagie Benaim Lior Wolf Amit H. Bermano 16 14 0 15 Jun 2019
PseudoEdgeNet: Nuclei Segmentation only with Point Annotations Inwan Yoo Donggeun Yoo K. Paeng 31 76 0 07 Jun 2019
Box-driven Class-wise Region Masking and Filling Rate Guided Loss for Weakly Supervised Semantic Segmentation Chunfeng Song Yan Huang Wanli Ouyang Liang Wang 19 216 0 26 Apr 2019
FickleNet: Weakly and Semi-supervised Semantic Image Segmentation using Stochastic Inference Jungbeom Lee Eunji Kim Sungmin Lee Jangho Lee Sungroh Yoon 24 422 0 27 Feb 2019
Harmonic Unpaired Image-to-image Translation Rui Zhang Tomas Pfister Jia Li GAN 10 48 0 26 Feb 2019
Constrained-CNN losses for weakly supervised segmentation H. Kervadec Jose Dolz Meng Tang Eric Granger Yuri Boykov Ismail Ben Ayed 27 239 0 12 May 2018