Orthogonal Uncertainty Representation of Data Manifold for Robust
Long-Tailed Learning

Orthogonal Uncertainty Representation of Data Manifold for Robust Long-Tailed Learning

16 October 2023

Fang Liu

Shuyuan Yang

Lingling Li

Papers citing "Orthogonal Uncertainty Representation of Data Manifold for Robust Long-Tailed Learning"

7 / 7 papers shown

Title
Label-Aware Distribution Calibration for Long-tailed Classification Chaozheng Wang Shuzheng Gao Cuiyun Gao Pengyun Wang Wenjie Pei Lujia Pan Zenglin Xu 32 20 0 09 Nov 2021
Towards Calibrated Model for Long-Tailed Visual Recognition from Prior Perspective Zhengzhuo Xu Zenghao Chai Chun Yuan 59 52 0 06 Nov 2021
Model-centric Data Manifold: the Data Through the Eyes of the Model Luca Grementieri R. Fioresi 39 9 0 26 Apr 2021
Balanced Meta-Softmax for Long-Tailed Visual Recognition Jiawei Ren Cunjun Yu Shunan Sheng Xiao Ma Haiyu Zhao Shuai Yi Hongsheng Li 170 549 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 247 782 0 05 Dec 2019
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Z. Tu Kaiming He 297 10,216 0 16 Nov 2016
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 296 39,194 0 01 Sep 2014