Rethinking Semantic Segmentation Evaluation for Explainability and Model
Selection

Rethinking Semantic Segmentation Evaluation for Explainability and Model Selection

21 January 2021

Yuxiang Zhang

Papers citing "Rethinking Semantic Segmentation Evaluation for Explainability and Model Selection"

9 / 9 papers shown

Title
Contour-weighted loss for class-imbalanced image segmentation Zhhengyong Huang Yao Sui 47 3 0 07 Jun 2024
Explainable AI (XAI) in Image Segmentation in Medicine, Industry, and Beyond: A Survey Rokas Gipiškis Chun-Wei Tsai Olga Kurasova 68 5 0 02 May 2024
Towards Robust Multi-Modal Reasoning via Model Selection Xiangyan Liu Rongxue Li Wei Ji Tao Lin LLMAG LRM 44 3 0 12 Oct 2023
MISm: A Medical Image Segmentation Metric for Evaluation of weak labeled Data D. Hartmann Verena Schmid Philip Meyer Iñaki Soto Rey Dominik Muller Frank Kramer 43 1 0 24 Oct 2022
Dense Cross-Query-and-Support Attention Weighted Mask Aggregation for Few-Shot Segmentation Xinyu Shi Dong Wei Yu Zhang Donghuan Lu Munan Ning Jiashun Chen Kai Ma Yefeng Zheng 27 99 0 18 Jul 2022
Towards a Guideline for Evaluation Metrics in Medical Image Segmentation Dominik Muller Iñaki Soto Rey Frank Kramer 48 281 0 10 Feb 2022
MISeval: a Metric Library for Medical Image Segmentation Evaluation Dominik Muller D. Hartmann Philip Meyer Florian Auer Iñaki Soto Rey Frank Kramer 38 19 0 23 Jan 2022
Semantic Understanding of Scenes through the ADE20K Dataset Bolei Zhou Hang Zhao Xavier Puig Tete Xiao Sanja Fidler Adela Barriuso Antonio Torralba SSeg 253 1,834 0 18 Aug 2016
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation Vijay Badrinarayanan Alex Kendall R. Cipolla SSeg 478 15,657 0 02 Nov 2015