v1v2v3 (latest)

UncertainSAM: Fast and Efficient Uncertainty Quantification of the Segment Anything Model

8 May 2025

Papers citing "UncertainSAM: Fast and Efficient Uncertainty Quantification of the Segment Anything Model"

29 / 29 papers shown

Title
Noise Augmented Fine Tuning for Mitigating Hallucinations in Large Language Models Afshin Khadangi Amir Sartipi Igor Tchappi Ramin Bahmani 104 1 0 04 Apr 2025
Utilizing Uncertainty in 2D Pose Detectors for Probabilistic 3D Human Mesh Recovery Tom Wehrbein Marco Rudolph Bodo Rosenhahn Bastian Wandt 3DH 159 2 0 25 Nov 2024
Parameter-efficient Bayesian Neural Networks for Uncertainty-aware Depth Estimation Richard D. Paul Alessio Quercia Vincent Fortuin Katharina Nöh Hanno Scharr UQCV BDL 64 2 0 25 Sep 2024
Segment-Anything Models Achieve Zero-shot Robustness in Autonomous Driving Jun Yan Pengyu Wang Danni Wang Weiquan Huang Daniel Watzenig Huilin Yin AAML VLM 81 4 0 19 Aug 2024
Biomedical SAM 2: Segment Anything in Biomedical Images and Videos Zhiling Yan Weixiang Sun Rong Zhou Zhengqing Yuan Kai Zhang ... Tianming Liu Quanzheng Li Xiang Li Lifang He Lin Sun VLM MedIm 85 12 0 06 Aug 2024
SAM 2: Segment Anything in Images and Videos Nikhila Ravi Valentin Gabeur Yuan-Ting Hu Ronghang Hu Chaitanya K. Ryali ... Nicolas Carion Chao-Yuan Wu Ross B. Girshick Piotr Dollár Christoph Feichtenhofer VLM MLLM 170 943 0 01 Aug 2024
Strike the Balance: On-the-Fly Uncertainty based User Interactions for Long-Term Video Object Segmentation Stéphane Vujasinović Kamil Dreczkowski Sebastian Bullinger Norbert Scherer-Negenborn Michael Arens VOS 78 1 0 31 Jul 2024
Uncertainty-Aware Adapter: Adapting Segment Anything Model (SAM) for Ambiguous Medical Image Segmentation Mingzhou Jiang Jiaying Zhou Junde Wu Tianyang Wang Yueming Jin Min Xu MedIm 103 3 0 16 Mar 2024
AutoMix: Automatically Mixing Language Models Pranjal Aggarwal Aman Madaan Ankit Anand Srividya Pranavi Potharaju Swaroop Mishra ... Karthik Kappaganthu Yiming Yang Shyam Upadhyay Manaal Faruqui Mausam 194 26 0 19 Oct 2023
HyperSparse Neural Networks: Shifting Exploration to Exploitation through Adaptive Regularization Patrick Glandorf Timo Kaiser Bodo Rosenhahn 105 5 0 14 Aug 2023
One-Prompt to Segment All Medical Images Junde Wu Jiayuan Zhu Yueming Jin Min Xu VLM MedIm 100 32 0 17 May 2023
A Comprehensive Survey on Segment Anything Model for Vision and Beyond Chunhui Zhang Li Liu Yawen Cui Guanjie Huang Weilin Lin Yiqian Yang Yuehong Hu VLM 102 100 0 14 May 2023
Compensation Learning in Semantic Segmentation Timo Kaiser Christoph Reinders Bodo Rosenhahn NoLa 71 3 0 26 Apr 2023
Segment anything, from space? Simiao Ren Francesco Luzi Saad Lahrichi Kaleb Kassaw L. Collins Kyle Bradbury Jordan M. Malof VLM 86 46 0 25 Apr 2023
Segment Anything A. Kirillov Eric Mintun Nikhila Ravi Hanzi Mao Chloe Rolland ... Spencer Whitehead Alexander C. Berg Wan-Yen Lo Piotr Dollár Ross B. Girshick MLLM VLM 465 7,452 0 05 Apr 2023
MOSE: A New Dataset for Video Object Segmentation in Complex Scenes Henghui Ding Chang Liu Shuting He Xudong Jiang Philip Torr S. Bai VOS 115 145 0 03 Feb 2023
Blind Knowledge Distillation for Robust Image Classification Timo Kaiser Lukas Ehmann Christoph Reinders Bodo Rosenhahn NoLa 67 13 0 21 Nov 2022
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization Marius Lindauer Katharina Eggensperger Matthias Feurer André Biedenkapp Difan Deng C. Benjamins Tim Ruhopf René Sass Frank Hutter 136 349 0 20 Sep 2021
A Survey of Uncertainty in Deep Neural Networks J. Gawlikowski Cedrique Rovile Njieutcheu Tassi Mohsin Ali Jongseo Lee Matthias Humt ... R. Roscher Muhammad Shahzad Wen Yang R. Bamler Xiaoxiang Zhu BDL UQCV OOD 242 1,177 0 07 Jul 2021
Learning Transferable Visual Models From Natural Language Supervision Alec Radford Jong Wook Kim Chris Hallacy Aditya A. Ramesh Gabriel Goh ... Amanda Askell Pamela Mishkin Jack Clark Gretchen Krueger Ilya Sutskever CLIP VLM 1.1K 30,053 0 26 Feb 2021
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale Alexey Dosovitskiy Lucas Beyer Alexander Kolesnikov Dirk Weissenborn Xiaohua Zhai ... Matthias Minderer G. Heigold Sylvain Gelly Jakob Uszkoreit N. Houlsby ViT 750 41,796 0 22 Oct 2020
Bayesian Neural Networks: An Introduction and Survey Ethan Goan Clinton Fookes BDL UQCV 82 210 0 22 Jun 2020
Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains Matthew Tancik Pratul P. Srinivasan B. Mildenhall Sara Fridovich-Keil N. Raghavan Utkarsh Singhal R. Ramamoorthi Jonathan T. Barron Ren Ng 135 2,458 0 18 Jun 2020
Aleatoric uncertainty estimation with test-time augmentation for medical image segmentation with convolutional neural networks Guotai Wang Wenqi Li Michael Aertsen Jan Deprest Sebastien Ourselin Tom Vercauteren UQCV MedIm OOD 170 594 0 19 Jul 2018
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 934 5,858 0 05 Dec 2016
Semantic Understanding of Scenes through the ADE20K Dataset Bolei Zhou Hang Zhao Xavier Puig Tete Xiao Sanja Fidler Adela Barriuso Antonio Torralba SSeg 428 1,898 0 18 Aug 2016
Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference Y. Gal Zoubin Ghahramani UQCV BDL 369 752 0 06 Jun 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 966 9,386 0 06 Jun 2015
Microsoft COCO: Common Objects in Context Nayeon Lee Michael Maire Serge J. Belongie Lubomir Bourdev Ross B. Girshick James Hays Pietro Perona Deva Ramanan C. L. Zitnick Piotr Dollár ObjD 486 43,973 0 01 May 2014