Calibrated Adversarial Refinement for Stochastic Semantic Segmentation

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Calibrated Adversarial Refinement for Stochastic Semantic Segmentation

IEEE International Conference on Computer Vision (ICCV), 2020

23 June 2020

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Papers citing "Calibrated Adversarial Refinement for Stochastic Semantic Segmentation"

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Title
A Review of Bayesian Uncertainty Quantification in Deep Probabilistic Image Segmentation M. Valiuddin R. V. Sloun C.G.A. Viviers Peter H. N. de With Fons van der Sommen UQCV 551 1 0 25 Nov 2024
Calib3D: Calibrating Model Preferences for Reliable 3D Scene Understanding Lingdong Kong Xiang Xu Jun Cen Wenwei Zhang Liang Pan Kai-xiang Chen Ziwei Liu 190 11 0 25 Mar 2024
Investigating and Improving Latent Density Segmentation Models for Aleatoric Uncertainty Quantification in Medical ImagingIEEE Transactions on Medical Imaging (TMI), 2023 M. Valiuddin Christiaan Viviers R. V. Sloun Peter H. N. de With Fons van der Sommen UQCV 233 2 0 31 Jul 2023
BerDiff: Conditional Bernoulli Diffusion Model for Medical Image SegmentationInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023 Tao Chen Chenhui Wang Hongming Shan DiffM MedIm 127 43 0 10 Apr 2023
Modeling Multimodal Aleatoric Uncertainty in Segmentation with Mixture of Stochastic ExpertsInternational Conference on Learning Representations (ICLR), 2022 Zhitong Gao Yucong Chen Chuyu Zhang Xuming He UQCV 116 10 0 14 Dec 2022
Modeling Annotator Preference and Stochastic Annotation Error for Medical Image Segmentation Zehui Liao Shishuai Hu Yutong Xie Yong-quan Xia 112 22 0 26 Nov 2021