Correlation Maximized Structural Similarity Loss for Semantic
Segmentation

Correlation Maximized Structural Similarity Loss for Semantic Segmentation

19 October 2019

Yao Hu

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Papers citing "Correlation Maximized Structural Similarity Loss for Semantic Segmentation"

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Title
GenSelfDiff-HIS: Generative Self-Supervision Using Diffusion for Histopathological Image Segmentation Vishnuvardhan Purma Suhas Srinath Seshan Srirangarajan A. Kakkar Prathosh A.P. MedIm DiffM 52 2 0 04 Sep 2023
Multi-scale, Data-driven and Anatomically Constrained Deep Learning Image Registration for Adult and Fetal Echocardiography M. Hasan Haobo Zhu Guang Yang Choon Hwai Yap 80 1 0 02 Sep 2023
Does image resolution impact chest X-ray based fine-grained Tuberculosis-consistent lesion segmentation? S. Rajaraman Feng Yang Ghada Zamzmi Z. Xue Sameer Kiran Antani 68 0 0 10 Jan 2023
Generalizability of Deep Adult Lung Segmentation Models to the Pediatric Population: A Retrospective Study S. Rajaraman Feng Yang Ghada Zamzmi Z. Xue Sameer Kiran Antani 41 0 0 04 Nov 2022
Automatic Fine-grained Glomerular Lesion Recognition in Kidney Pathology Yang Nan Fengyi Li Pen Tang Guyue Zhang C. Zeng Guotong Xie Zhihong Liu Guang Yang 73 12 0 11 Mar 2022
CFNet: Learning Correlation Functions for One-Stage Panoptic Segmentation Yifeng Chen Wenqing Chu Fangfang Wang Ying Tai Ran Yi Zhenye Gan Lili Yao Chengjie Wang Xi Li ISeg 117 2 0 13 Jan 2022
SemSegLoss: A python package of loss functions for semantic segmentation Shruti Jadon SSeg VLM 64 9 0 18 May 2021
A survey of loss functions for semantic segmentation Shruti Jadon SSeg 111 846 0 26 Jun 2020
Lookahead Adversarial Learning for Near Real-Time Semantic Segmentation Hadi Jamali Rad Attila Szabo SSeg 67 1 0 19 Jun 2020