Spatial Consistency Loss for Training Multi-Label Classifiers from
Single-Label Annotations

Spatial Consistency Loss for Training Multi-Label Classifiers from Single-Label Annotations

11 March 2022

Paul Kishan Rubenstein

Tinne Tuytelaars

Papers citing "Spatial Consistency Loss for Training Multi-Label Classifiers from Single-Label Annotations"

4 / 4 papers shown

Title
Boosting Single Positive Multi-label Classification with Generalized Robust Loss Yanxi Chen Chunxiao Li Xinyang Dai Jinhuan Li Weiyu Sun Yiming Wang Renyuan Zhang Tinghe Zhang Bo Wang 32 0 0 06 May 2024
ResNet strikes back: An improved training procedure in timm Ross Wightman Hugo Touvron Hervé Jégou AI4TS 207 477 0 01 Oct 2021
Re-labeling ImageNet: from Single to Multi-Labels, from Global to Localized Labels Sangdoo Yun Seong Joon Oh Byeongho Heo Dongyoon Han Junsuk Choe Sanghyuk Chun 384 139 0 13 Jan 2021
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results Antti Tarvainen Harri Valpola OOD MoMe 244 1,279 0 06 Mar 2017