Learning Prototype Classifiers for Long-Tailed Recognition

1 February 2023

Papers citing "Learning Prototype Classifiers for Long-Tailed Recognition"

9 / 9 papers shown

Title
Enhancing Features in Long-tailed Data Using Large Vision Model Pengxiao Han Changkun Ye Jinguang Tong Cuicui Jiang Jie Hong Li Fang Xuesong Li VLM 31 0 0 15 Apr 2025
All-around Neural Collapse for Imbalanced Classification Enhao Zhang Chaohua Li Chuanxing Geng Songcan Chen AI4CE 31 1 0 14 Aug 2024
Neural Collapse in Multi-label Learning with Pick-all-label Loss Pengyu Li Xiao Li Yutong Wang Qing Qu 20 8 0 24 Oct 2023
Symmetric Neural-Collapse Representations with Supervised Contrastive Loss: The Impact of ReLU and Batching Ganesh Ramachandra Kini V. Vakilian Tina Behnia Jaidev Gill Christos Thrampoulidis 17 1 0 13 Jun 2023
Principled and Efficient Transfer Learning of Deep Models via Neural Collapse Xiao Li Sheng Liu Jin-li Zhou Xin Lu C. Fernandez‐Granda Zhihui Zhu Q. Qu AAML 19 18 0 23 Dec 2022
Exploring Deep Neural Networks via Layer-Peeled Model: Minority Collapse in Imbalanced Training Cong Fang Hangfeng He Qi Long Weijie J. Su FAtt 122 165 0 29 Jan 2021
Balanced Meta-Softmax for Long-Tailed Visual Recognition Jiawei Ren Cunjun Yu Shunan Sheng Xiao Ma Haiyu Zhao Shuai Yi Hongsheng Li 159 549 0 21 Jul 2020
BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition Boyan Zhou Quan Cui Xiu-Shen Wei Zhao-Min Chen 245 782 0 05 Dec 2019
SMOTE: Synthetic Minority Over-sampling Technique Nitesh V. Chawla Kevin W. Bowyer Lawrence Hall W. Kegelmeyer AI4TS 160 25,244 0 09 Jun 2011