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Cal-DETR: Calibrated Detection Transformer

Cal-DETR: Calibrated Detection Transformer

6 November 2023
Muhammad Akhtar Munir
Salman Khan
Muhammad Haris Khan
Mohsen Ali
Fahad Shahbaz Khan
ArXivPDFHTML

Papers citing "Cal-DETR: Calibrated Detection Transformer"

9 / 9 papers shown
Title
O-TPT: Orthogonality Constraints for Calibrating Test-time Prompt Tuning in Vision-Language Models
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
Cocoon: Robust Multi-Modal Perception with Uncertainty-Aware Sensor
  Fusion
Cocoon: Robust Multi-Modal Perception with Uncertainty-Aware Sensor Fusion
Minkyoung Cho
Yulong Cao
Jiachen Sun
Qingzhao Zhang
Marco Pavone
Jeong Joon Park
Heng Yang
Z. Morley Mao
23
0
0
16 Oct 2024
Dynamic Retraining-Updating Mean Teacher for Source-Free Object
  Detection
Dynamic Retraining-Updating Mean Teacher for Source-Free Object Detection
Trinh Le Ba Khanh
Huy-Hung Nguyen
L. Pham
Duong Nguyen-Ngoc Tran
Jae Wook Jeon
33
3
0
23 Jul 2024
On Calibration of Object Detectors: Pitfalls, Evaluation and Baselines
On Calibration of Object Detectors: Pitfalls, Evaluation and Baselines
Selim Kuzucu
Kemal Oksuz
Jonathan Sadeghi
P. Dokania
33
4
0
30 May 2024
MoCaE: Mixture of Calibrated Experts Significantly Improves Object
  Detection
MoCaE: Mixture of Calibrated Experts Significantly Improves Object Detection
Kemal Oksuz
Selim Kuzucu
Tom Joy
P. Dokania
MoE
22
5
0
26 Sep 2023
MLP-Mixer: An all-MLP Architecture for Vision
MLP-Mixer: An all-MLP Architecture for Vision
Ilya O. Tolstikhin
N. Houlsby
Alexander Kolesnikov
Lucas Beyer
Xiaohua Zhai
...
Andreas Steiner
Daniel Keysers
Jakob Uszkoreit
Mario Lucic
Alexey Dosovitskiy
250
2,603
0
04 May 2021
Improving model calibration with accuracy versus uncertainty
  optimization
Improving model calibration with accuracy versus uncertainty optimization
R. Krishnan
Omesh Tickoo
UQCV
188
157
0
14 Dec 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
270
5,660
0
05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
261
9,136
0
06 Jun 2015
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