Simple and Robust Loss Design for Multi-Label Learning with Missing
Labels

Simple and Robust Loss Design for Multi-Label Learning with Missing Labels

13 December 2021

Xinyu Huang

Rui Feng

Papers citing "Simple and Robust Loss Design for Multi-Label Learning with Missing Labels"

7 / 7 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
Open-Set Image Tagging with Multi-Grained Text Supervision Xinyu Huang Yi-Jie Huang Youcai Zhang Weiwei Tian Rui Feng Yuejie Zhang Yanchun Xie Yaqian Li Lei Zhang VLM 33 28 0 23 Oct 2023
Understanding Label Bias in Single Positive Multi-Label Learning Julio Arroyo Pietro Perona Elijah Cole 30 2 0 24 May 2023
Exploring Structured Semantic Prior for Multi Label Recognition with Incomplete Labels Zixuan Ding Ao Wang Hui Chen Qiaosheng Zhang Pengzhang Liu Yongjun Bao Weipeng P. Yan Jungong Han 24 27 0 23 Mar 2023
Knowledge Distillation from Single to Multi Labels: an Empirical Study Youcai Zhang Yuzhuo Qin Heng-Ye Liu Yanhao Zhang Yaqian Li X. Gu VLM 53 2 0 15 Mar 2023
An Action Is Worth Multiple Words: Handling Ambiguity in Action Recognition Kiyoon Kim Davide Moltisanti Oisin Mac Aodha Laura Sevilla-Lara 16 0 0 10 Oct 2022
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 414 142 0 13 Jan 2021