Bridging the Gap between Model Explanations in Partially Annotated Multi-label Classification

4 April 2023

Papers citing "Bridging the Gap between Model Explanations in Partially Annotated Multi-label Classification"

7 / 7 papers shown

Title
Classifier-guided CLIP Distillation for Unsupervised Multi-label Classification Dongseob Kim Hyunjung Shim VLM 44 0 0 21 Mar 2025
A Survey on Incomplete Multi-label Learning: Recent Advances and Future Trends Xiang Li Jiexi Liu Xinrui Wang Songcan Chen AI4TS 24 0 0 10 Jun 2024
Free Performance Gain from Mixing Multiple Partially Labeled Samples in Multi-label Image Classification Chak Fong Chong Jielong Guo Xu Yang Wei Ke Yapeng Wang VLM 16 0 0 24 May 2024
Category-wise Fine-Tuning: Resisting Incorrect Pseudo-Labels in Multi-Label Image Classification with Partial Labels Chak Fong Chong Xinyi Fang Jielong Guo Yapeng Wang Wei Ke C. Lam Sio-Kei Im 21 1 0 30 Jan 2024
Can Class-Priors Help Single-Positive Multi-Label Learning? Biao Liu N. Xu Jie Wang Xin Geng 26 1 0 25 Sep 2023
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 381 139 0 13 Jan 2021
Beyond Class-Conditional Assumption: A Primary Attempt to Combat Instance-Dependent Label Noise Pengfei Chen Junjie Ye Guangyong Chen Jingwei Zhao Pheng-Ann Heng NoLa 22 55 0 10 Dec 2020