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eess.IV2024
ToNNO: Tomographic Reconstruction of a Neural Network's Output for Weakly Supervised Segmentation of 3D Medical Images
Marius Schmidt-Mengin, Alexis Benichoux, Shibeshih Belachew +2
Annotating lots of 3D medical images for training segmentation models is time-consuming. The goal of weakly supervised semantic segmentation is to train segmentation models without…
eess.IV2019
Deep Tone Mapping Operator for High Dynamic Range Images
Aakanksha Rana, Praveer Singh, Giuseppe Valenzise +3
A computationally fast tone mapping operator (TMO) that can quickly adapt to a wide spectrum of high dynamic range (HDR) content is quintessential for visualization on varied low d…