Towards Improving Calibration in Object Detection Under Domain Shift

15 September 2022

Muhammad Akhtar Munir

Papers citing "Towards Improving Calibration in Object Detection Under Domain Shift"

20 / 20 papers shown

Title
O-TPT: Orthogonality Constraints for Calibrating Test-time Prompt Tuning in Vision-Language Models Ashshak Sharifdeen Muhammad Akhtar Munir Sanoojan Baliah Salman Khan M. H. Khan VLM 49 0 0 15 Mar 2025
ReliOcc: Towards Reliable Semantic Occupancy Prediction via Uncertainty Learning Song Wang Zhongdao Wang Jiawei Yu Wentong Li Bailan Feng Junbo Chen Jianke Zhu UQCV 29 3 0 26 Sep 2024
TSBP: Improving Object Detection in Histology Images via Test-time Self-guided Bounding-box Propagation Tingting Yang Liang Xiao Yizhe Zhang 30 0 0 25 Sep 2024
OpenSlot: Mixed Open-Set Recognition with Object-Centric Learning Xu Yin Fei Pan G. An Yuchi Huo Zixuan Xie Sung-eui Yoon BDL VLM 63 1 0 02 Jul 2024
On Calibration of Object Detectors: Pitfalls, Evaluation and Baselines Selim Kuzucu Kemal Oksuz Jonathan Sadeghi P. Dokania 33 4 0 30 May 2024
Calib3D: Calibrating Model Preferences for Reliable 3D Scene Understanding Lingdong Kong Xiang Xu Jun Cen Wenwei Zhang Liang Pan Kai-xiang Chen Ziwei Liu 47 5 0 25 Mar 2024
Beyond Classification: Definition and Density-based Estimation of Calibration in Object Detection Teodora Popordanoska A. Tiulpin Matthew B. Blaschko 30 8 0 11 Dec 2023
AUGCAL: Improving Sim2Real Adaptation by Uncertainty Calibration on Augmented Synthetic Images Prithvijit Chattopadhyay Bharat Goyal B. Ecsedi Viraj Prabhu Judy Hoffman 41 0 0 11 Dec 2023
Cal-DETR: Calibrated Detection Transformer Muhammad Akhtar Munir Salman Khan Muhammad Haris Khan Mohsen Ali Fahad Shahbaz Khan 37 8 0 06 Nov 2023
CAST: Cluster-Aware Self-Training for Tabular Data Minwook Kim Juseong Kim Kibeom Kim Giltae Song 30 0 0 10 Oct 2023
MoCaE: Mixture of Calibrated Experts Significantly Improves Object Detection Kemal Oksuz Selim Kuzucu Tom Joy P. Dokania MoE 22 5 0 26 Sep 2023
A Theoretical and Practical Framework for Evaluating Uncertainty Calibration in Object Detection Pedro Conde Rui L. Lopes C. Premebida UQCV 11 1 0 01 Sep 2023
Towards Building Self-Aware Object Detectors via Reliable Uncertainty Quantification and Calibration Kemal Oksuz Thomas Joy P. Dokania UQCV 15 16 0 03 Jul 2023
Beyond Probability Partitions: Calibrating Neural Networks with Semantic Aware Grouping Jia-Qi Yang De-Chuan Zhan Le Gan UQCV 24 5 0 08 Jun 2023
Document Understanding Dataset and Evaluation (DUDE) Jordy Van Landeghem Rubèn Pérez Tito Łukasz Borchmann Michal Pietruszka Pawel Józiak ... Bertrand Ackaert Ernest Valveny Matthew Blaschko Sien Moens Tomasz Stanislawek VGen 22 52 0 15 May 2023
On Calibrating Semantic Segmentation Models: Analyses and An Algorithm Dongdong Wang Boqing Gong Liqiang Wang 13 23 0 22 Dec 2022
Trustworthy clinical AI solutions: a unified review of uncertainty quantification in deep learning models for medical image analysis Benjamin Lambert Florence Forbes A. Tucholka Senan Doyle Harmonie Dehaene M. Dojat 24 76 0 05 Oct 2022
Improving model calibration with accuracy versus uncertainty optimization R. Krishnan Omesh Tickoo UQCV 188 157 0 14 Dec 2020
Exploring Categorical Regularization for Domain Adaptive Object Detection Chang-Dong Xu Xingjie Zhao Xin Jin Xiu-Shen Wei OOD ObjD 127 284 0 20 Mar 2020
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 279 9,136 0 06 Jun 2015