Next Generation Loss Function for Image Classification

19 April 2024

Papers citing "Next Generation Loss Function for Image Classification"

10 / 10 papers shown

Title
AutoLoss-Zero: Searching Loss Functions from Scratch for Generic Tasks Hao Li Tianwen Fu Jifeng Dai Hongsheng Li Gao Huang Xizhou Zhu 61 29 0 25 Mar 2021
Training data-efficient image transformers & distillation through attention Hugo Touvron Matthieu Cord Matthijs Douze Francisco Massa Alexandre Sablayrolles Hervé Jégou ViT 324 6,657 0 23 Dec 2020
AutoML-Zero: Evolving Machine Learning Algorithms From Scratch Esteban Real Chen Liang David R. So Quoc V. Le 63 225 0 06 Mar 2020
AutoML: A Survey of the State-of-the-Art Xin He Kaiyong Zhao Xiaowen Chu 101 1,440 0 02 Aug 2019
3D Segmentation with Exponential Logarithmic Loss for Highly Unbalanced Object Sizes Ken C. L. Wong Mehdi Moradi Hui Tang Tanveer Syeda-Mahmood 3DV SSeg 43 190 0 31 Aug 2018
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms Han Xiao Kashif Rasul Roland Vollgraf 201 8,807 0 25 Aug 2017
Generalised Dice overlap as a deep learning loss function for highly unbalanced segmentations Carole H Sudre Wenqi Li Tom Vercauteren Sébastien Ourselin M. Jorge Cardoso SSeg 103 2,132 0 11 Jul 2017
Rethinking the Inception Architecture for Computer Vision Christian Szegedy Vincent Vanhoucke Sergey Ioffe Jonathon Shlens Z. Wojna 3DV BDL 575 27,231 0 02 Dec 2015
Fast R-CNN Ross B. Girshick ObjD 284 24,976 0 30 Apr 2015
Going Deeper with Convolutions Christian Szegedy Wei Liu Yangqing Jia P. Sermanet Scott E. Reed Dragomir Anguelov D. Erhan Vincent Vanhoucke Andrew Rabinovich 361 43,511 0 17 Sep 2014