Posterior Re-calibration for Imbalanced Datasets

Posterior Re-calibration for Imbalanced Datasets

22 October 2020

Papers citing "Posterior Re-calibration for Imbalanced Datasets"

18 / 18 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 208 0 0 15 Apr 2025
Dist Loss: Enhancing Regression in Few-Shot Region through Distribution Distance Constraint Guangkun Nie Gongzheng Tang Shenda Hong 116 0 0 20 Nov 2024
Taming the Long Tail in Human Mobility Prediction Xiaohang Xu Renhe Jiang Chuang Yang Z. Fan Kaoru Sezaki 109 3 0 19 Oct 2024
Rethinking Semi-Supervised Imbalanced Node Classification from Bias-Variance Decomposition Divin Yan Gengchen Wei Chen Yang Shengzhong Zhang Zengfeng Huang AI4CE 96 12 0 28 Oct 2023
BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition Boyan Zhou Quan Cui Xiu-Shen Wei Zhao-Min Chen 288 800 0 05 Dec 2019
UNO: Uncertainty-aware Noisy-Or Multimodal Fusion for Unanticipated Input Degradation Junjiao Tian W. Cheung Nathan Glaser Yen-Cheng Liu Z. Kira 52 26 0 06 Nov 2019
Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss Kaidi Cao Colin Wei Adrien Gaidon Nikos Arechiga Tengyu Ma 116 1,602 0 18 Jun 2019
Application of Decision Rules for Handling Class Imbalance in Semantic Segmentation Robin Shing Moon Chan Matthias Rottmann Fabian Hüger Peter Schlicht Hanno Gottschalk SSeg 43 41 0 24 Jan 2019
Class-Balanced Loss Based on Effective Number of Samples Huayu Chen Menglin Jia Nayeon Lee Yang Song Serge J. Belongie 193 2,279 0 16 Jan 2019
A systematic study of the class imbalance problem in convolutional neural networks Mateusz Buda A. Maki Maciej A. Mazurowski 211 2,367 0 15 Oct 2017
Focal Loss for Dense Object Detection Nayeon Lee Priya Goyal Ross B. Girshick Kaiming He Piotr Dollár ObjD 112 2,996 0 07 Aug 2017
On Calibration of Modern Neural Networks Chuan Guo Geoff Pleiss Yu Sun Kilian Q. Weinberger UQCV 299 5,827 0 14 Jun 2017
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs Liang-Chieh Chen George Papandreou Iasonas Kokkinos Kevin Patrick Murphy Alan Yuille SSeg 242 18,232 0 02 Jun 2016
Rethinking the Inception Architecture for Computer Vision Christian Szegedy Vincent Vanhoucke Sergey Ioffe Jonathon Shlens Z. Wojna 3DV BDL 878 27,358 0 02 Dec 2015
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation Vijay Badrinarayanan Alex Kendall R. Cipolla SSeg 1.1K 15,798 0 02 Nov 2015
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks Shaoqing Ren Kaiming He Ross B. Girshick Jian Sun AIMat ObjD 499 62,270 0 04 Jun 2015
Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-Scale Convolutional Architecture David Eigen Rob Fergus VLM MDE 207 2,679 0 18 Nov 2014
SMOTE: Synthetic Minority Over-sampling Technique Nitesh Chawla Kevin W. Bowyer Lawrence Hall W. Kegelmeyer AI4TS 367 25,642 0 09 Jun 2011