Asymmetric Loss For Multi-Label Classification

29 September 2020

Papers citing "Asymmetric Loss For Multi-Label Classification"

5 / 55 papers shown

Title
Imperceptible Adversarial Examples for Fake Image Detection Quanyu Liao Yuezun Li Xiaoqiang Guo Bin Kong Yingxin Zhu Jianlei Liu Zhuqing Jiang Qi Song Xi Wu AAML 85 33 0 03 Jun 2021
ImageNet-21K Pretraining for the Masses T. Ridnik Emanuel Ben-Baruch Asaf Noy Lihi Zelnik-Manor SSeg VLM CLIP 162 676 0 22 Apr 2021
Sewer-ML: A Multi-Label Sewer Defect Classification Dataset and Benchmark Joakim Bruslund Haurum T. Moeslund 15 59 0 19 Mar 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
A disciplined approach to neural network hyper-parameters: Part 1 -- learning rate, batch size, momentum, and weight decay L. Smith 191 1,007 0 26 Mar 2018