Boosting Single Positive Multi-label Classification with Generalized Robust Loss

6 May 2024

Papers citing "Boosting Single Positive Multi-label Classification with Generalized Robust Loss"

9 / 9 papers shown

Title
Acknowledging the Unknown for Multi-label Learning with Single Positive Labels Donghao Zhou Pengfei Chen Qiong Wang Guangyong Chen Pheng-Ann Heng 43 30 0 30 Mar 2022
Spatial Consistency Loss for Training Multi-Label Classifiers from Single-Label Annotations Thomas Verelst Paul Kishan Rubenstein M. Eichner Tinne Tuytelaars Maxim Berman 45 20 0 11 Mar 2022
ACPL: Anti-curriculum Pseudo-labelling for Semi-supervised Medical Image Classification Fengbei Liu Yu Tian Yuanhong Chen Yuyuan Liu Vasileios Belagiannis G. Carneiro 67 79 0 25 Nov 2021
Multi-Label Learning from Single Positive Labels Elijah Cole Oisin Mac Aodha Titouan Lorieul Pietro Perona Dan Morris Nebojsa Jojic 63 113 0 17 Jun 2021
The Emerging Trends of Multi-Label Learning Weiwei Liu Haobo Wang Xiaobo Shen Ivor W. Tsang 69 255 0 23 Nov 2020
Asymmetric Loss For Multi-Label Classification Emanuel Ben-Baruch T. Ridnik Nadav Zamir Asaf Noy Itamar Friedman M. Protter Lihi Zelnik-Manor 76 528 0 29 Sep 2020
Normalized Loss Functions for Deep Learning with Noisy Labels Xingjun Ma Hanxun Huang Yisen Wang Simone Romano S. Erfani James Bailey NoLa 55 439 0 24 Jun 2020
Learning from positive and unlabeled data: a survey Jessa Bekker Jesse Davis 66 555 0 12 Nov 2018
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 1.2K 39,383 0 01 Sep 2014