Class-Distribution-Aware Calibration for Long-Tailed Visual Recognition

Class-Distribution-Aware Calibration for Long-Tailed Visual Recognition

11 September 2021

Mobarakol Islam

Lalithkumar Seenivasan

Hongliang Ren

Papers citing "Class-Distribution-Aware Calibration for Long-Tailed Visual Recognition"

6 / 6 papers shown

Title
Multimodal Graph Representation Learning for Robust Surgical Workflow Recognition with Adversarial Feature Disentanglement Long Bai Boyi Ma Ruohan Wang Guankun Wang Beilei Cui ... Mobarakol Islam Zhe Min Jiewen Lai Nassir Navab Hongliang Ren 53 0 0 03 May 2025
Bridging Precision and Confidence: A Train-Time Loss for Calibrating Object Detection Muhammad Akhtar Munir Muhammad Haris Khan Salman Khan Fahad Shahbaz Khan UQCV 38 15 0 25 Mar 2023
Towards Improving Calibration in Object Detection Under Domain Shift Muhammad Akhtar Munir M. H. Khan M. Sarfraz Mohsen Ali 19 22 0 15 Sep 2022
Estimating Model Performance under Domain Shifts with Class-Specific Confidence Scores Zeju Li Konstantinos Kamnitsas Mobarakol Islam Chen Chen Ben Glocker 30 9 0 20 Jul 2022
A Stitch in Time Saves Nine: A Train-Time Regularizing Loss for Improved Neural Network Calibration R. Hebbalaguppe Jatin Prakash Neelabh Madan Chetan Arora UQCV 25 42 0 25 Mar 2022
Balanced Meta-Softmax for Long-Tailed Visual Recognition Jiawei Ren Cunjun Yu Shunan Sheng Xiao Ma Haiyu Zhao Shuai Yi Hongsheng Li 170 550 0 21 Jul 2020