The Lovász-Softmax loss: A tractable surrogate for the optimization of the intersection-over-union measure in neural networks

24 May 2017

Matthew B. Blaschko

Papers citing "The Lovász-Softmax loss: A tractable surrogate for the optimization of the intersection-over-union measure in neural networks"

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Title
Effect of the output activation function on the probabilities and errors in medical image segmentation Lars Nieradzik G. Scheuermann D. Saur Christina Gillmann SSeg MedIm UQCV 35 6 0 02 Sep 2021
STEm-Seg: Spatio-temporal Embeddings for Instance Segmentation in Videos A. Athar Sabarinath Mahadevan Aljosa Osep Laura Leal-Taixé Bastian Leibe VOS 77 170 0 18 Mar 2020
Matryoshka Networks: Predicting 3D Geometry via Nested Shape Layers Stephan R. Richter Stefan Roth 3DV 28 139 0 29 Apr 2018