Multi-label Classification with Partial Annotations using Class-aware Selective Loss

21 October 2021

Papers citing "Multi-label Classification with Partial Annotations using Class-aware Selective Loss"

9 / 9 papers shown

Title
Enhancing Small Object Encoding in Deep Neural Networks: Introducing Fast&Focused-Net with Volume-wise Dot Product Layer Tofik Ali Partha Pratim Roy ObjD 19 2 0 18 Jan 2024
End-to-End Supervised Multilabel Contrastive Learning A. Sajedi Samir Khaki Konstantinos N. Plataniotis Mahdi S. Hosseini SSL 21 8 0 08 Jul 2023
Class-Distribution-Aware Pseudo Labeling for Semi-Supervised Multi-Label Learning Ming-Kun Xie Jianxiong Xiao Hao-Zhe Liu Gang Niu Masashi Sugiyama Sheng-Jun Huang 32 15 0 04 May 2023
Bridging the Gap between Model Explanations in Partially Annotated Multi-label Classification Youngwook Kim Jae Myung Kim Ji-Eun Jeong Cordelia Schmid Zeynep Akata Jungwook Lee 19 7 0 04 Apr 2023
Exploring Structured Semantic Prior for Multi Label Recognition with Incomplete Labels Zixuan Ding Ao Wang Hui Chen Q. Zhang Pengzhang Liu Yongjun Bao Weipeng P. Yan Jungong Han 19 27 0 23 Mar 2023
Gradient Obfuscation Gives a False Sense of Security in Federated Learning Kai Yue Richeng Jin Chau-Wai Wong D. Baron H. Dai FedML 13 46 0 08 Jun 2022
Rethinking Crowdsourcing Annotation: Partial Annotation with Salient Labels for Multi-Label Image Classification Jianzhe Lin Tianze Yu Z. J. Wang 11 10 0 06 Sep 2021
ImageNet-21K Pretraining for the Masses T. Ridnik Emanuel Ben-Baruch Asaf Noy Lihi Zelnik-Manor SSeg VLM CLIP 166 684 0 22 Apr 2021
A disciplined approach to neural network hyper-parameters: Part 1 -- learning rate, batch size, momentum, and weight decay L. Smith 191 1,014 0 26 Mar 2018