Title
Learning to restore images degraded by atmospheric turbulence using uncertainty R. Yasarla Vishal M. Patel 56 41 0 07 Jul 2022
Generative Adversarial Networks Gilad Cohen Raja Giryes GAN 303 30,156 0 01 Mar 2022
Learning Generative Vision Transformer with Energy-Based Latent Space for Saliency Prediction Jing Zhang Jianwen Xie Nick Barnes Ping Li ViT 99 92 0 27 Dec 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 240 1,165 0 07 Jul 2021
Anabranch Network for Camouflaged Object Segmentation Trung-Nghia Le Tam V. Nguyen Zhongliang Nie M. Tran Akihiro Sugimoto 100 501 0 20 May 2021
Uncertainty-aware Joint Salient Object and Camouflaged Object Detection Aixuan Li Jing Zhang Yun-Qiu Lv Bowen Liu Tong Zhang Yuchao Dai 78 212 0 06 Apr 2021
Explore Image Deblurring via Blur Kernel Space Phong Tran Anh Tran Quynh Phung Minh Hoai 79 75 0 01 Apr 2021
Bayesian Deep Basis Fitting for Depth Completion with Uncertainty Chao Qu Wenxin Liu Camillo J Taylor UQCV BDL 88 31 0 29 Mar 2021
Vision Transformers for Dense Prediction René Ranftl Alexey Bochkovskiy V. Koltun ViT MDE 138 1,748 0 24 Mar 2021
DEUP: Direct Epistemic Uncertainty Prediction Salem Lahlou Moksh Jain Hadi Nekoei V. Butoi Paul Bertin Jarrid Rector-Brooks Maksym Korablyov Yoshua Bengio PER UQLM UQCV UD 297 94 0 16 Feb 2021
Multi-Stage Progressive Image Restoration Syed Waqas Zamir Aditya Arora Salman Khan Munawar Hayat Fahad Shahbaz Khan Ming-Hsuan Yang Ling Shao 193 1,500 0 04 Feb 2021
Masksembles for Uncertainty Estimation Nikita Durasov Timur M. Bagautdinov Pierre Baqué Pascal Fua OOD UQCV 76 83 0 15 Dec 2020
Improving model calibration with accuracy versus uncertainty optimization R. Krishnan Omesh Tickoo UQCV 256 168 0 14 Dec 2020
AdaBins: Depth Estimation using Adaptive Bins S. Bhat Ibraheem Alhashim Peter Wonka 3DV MDE ViT 144 861 0 28 Nov 2020
Deep Multi-view Depth Estimation with Predicted Uncertainty Tong Ke Tien Do Khiem Vuong K. Sartipi S. Roumeliotis UQCV 3DPC 80 16 0 19 Nov 2020
Evaluating Robustness of Predictive Uncertainty Estimation: Are Dirichlet-based Models Reliable? Anna-Kathrin Kopetzki Bertrand Charpentier Daniel Zügner Sandhya Giri Stephan Günnemann 80 48 0 28 Oct 2020
Label Decoupling Framework for Salient Object Detection Junhang Wei Shuhui Wang Zhe Wu Chi Su Qingming Huang Q. Tian 67 276 0 25 Aug 2020
Probabilistic Deep Learning for Instance Segmentation J. L. Rumberger Lisa Mais Dagmar Kainmueller UQCV SSeg 96 9 0 24 Aug 2020
Hyperparameter Ensembles for Robustness and Uncertainty Quantification F. Wenzel Jasper Snoek Dustin Tran Rodolphe Jenatton UQCV 90 212 0 24 Jun 2020
Generalized Bayesian Posterior Expectation Distillation for Deep Neural Networks Meet P. Vadera B. Jalaeian Benjamin M. Marlin BDL FedML UQCV 64 20 0 16 May 2020
On the uncertainty of self-supervised monocular depth estimation Matteo Poggi Filippo Aleotti Fabio Tosi S. Mattoccia UQCV MDE 97 266 0 13 May 2020
UC-Net: Uncertainty Inspired RGB-D Saliency Detection via Conditional Variational Autoencoders Jing Zhang Deng-Ping Fan Yuchao Dai Saeed Anwar F. Saleh Tong Zhang Nick Barnes UQCV 78 324 0 13 Apr 2020
Scalable Uncertainty for Computer Vision with Functional Variational Inference Eduardo D C Carvalho R. Clark Andrea Nicastro Paul H. J. Kelly BDL UQCV 421 22 0 06 Mar 2020
Human-Aware Motion Deblurring Ziyi Shen Wenguan Wang Xiankai Lu Jianbing Shen Haibin Ling Tingfa Xu Ling Shao 3DH 87 290 0 19 Jan 2020
Aleatoric and Epistemic Uncertainty with Random Forests M. Shaker Eyke Hüllermeier BDL UD PER 73 73 0 03 Jan 2020
Progressive Feature Polishing Network for Salient Object Detection Bo Wang Quan Chen Minglong Zhou Qing Cui Xiaogang Jin Kun Gai ObjD 56 97 0 14 Nov 2019
Accurate Uncertainty Estimation and Decomposition in Ensemble Learning J. Liu John Paisley M. Kioumourtzoglou B. Coull UQCV UD PER 91 84 0 11 Nov 2019
Uncertainty Quantification with Generative Models Vanessa Böhm F. Lanusse U. Seljak 72 26 0 22 Oct 2019
Sampling-free Epistemic Uncertainty Estimation Using Approximated Variance Propagation Janis Postels Francesco Ferroni Huseyin Coskun Nassir Navab Federico Tombari UQCV UD PER BDL 147 140 0 01 Aug 2019
Deblurring Face Images using Uncertainty Guided Multi-Stream Semantic Networks R. Yasarla Federico Perazzi Vishal M. Patel CVBM UQCV 64 66 0 30 Jul 2019
Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer René Ranftl Katrin Lasinger David Hafner Konrad Schindler V. Koltun MDE 226 1,805 0 02 Jul 2019
Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift Yaniv Ovadia Emily Fertig Jie Jessie Ren Zachary Nado D. Sculley Sebastian Nowozin Joshua V. Dillon Balaji Lakshminarayanan Jasper Snoek UQCV 197 1,707 0 06 Jun 2019
Reverse KL-Divergence Training of Prior Networks: Improved Uncertainty and Adversarial Robustness A. Malinin Mark Gales UQCV AAML 85 177 0 31 May 2019
Ensemble Distribution Distillation A. Malinin Bruno Mlodozeniec Mark Gales UQCV 94 237 0 30 Apr 2019
Cascaded Partial Decoder for Fast and Accurate Salient Object Detection Zhe Wu Li Su Qingming Huang ObjD 106 825 0 18 Apr 2019
HyperGAN: A Generative Model for Diverse, Performant Neural Networks Neale Ratzlaff Fuxin Li 69 64 0 30 Jan 2019
Lagging Inference Networks and Posterior Collapse in Variational Autoencoders Junxian He Daniel M. Spokoyny Graham Neubig Taylor Berg-Kirkpatrick BDL DRL 99 273 0 16 Jan 2019
High Quality Monocular Depth Estimation via Transfer Learning Ibraheem Alhashim Peter Wonka MDE 3DV 76 460 0 31 Dec 2018
Evaluating Bayesian Deep Learning Methods for Semantic Segmentation Jishnu Mukhoti Y. Gal UQCV BDL 99 225 0 30 Nov 2018
Rethinking ImageNet Pre-training Kaiming He Ross B. Girshick Piotr Dollár VLM SSeg 136 1,088 0 21 Nov 2018
Adaptive Semantic Segmentation with a Strategic Curriculum of Proxy Labels Pengxiang Cheng Jianwei Feng M. Hebert 80 17 0 08 Nov 2018
Open Category Detection with PAC Guarantees Si Liu Risheek Garrepalli Thomas G. Dietterich Alan Fern Dan Hendrycks 63 84 0 01 Aug 2018
Adversarial Distillation of Bayesian Neural Network Posteriors Kuan-Chieh Wang Paul Vicol James Lucas Li Gu Roger C. Grosse R. Zemel UQCV GAN AAML BDL 61 56 0 27 Jun 2018
Bias-Reduced Uncertainty Estimation for Deep Neural Classifiers Yonatan Geifman Guy Uziel Ran El-Yaniv UQCV 73 142 0 21 May 2018
Understanding Measures of Uncertainty for Adversarial Example Detection Lewis Smith Y. Gal UQCV 96 365 0 22 Mar 2018
Pseudo-task Augmentation: From Deep Multitask Learning to Intratask Sharing---and Back Elliot Meyerson Risto Miikkulainen 67 45 0 11 Mar 2018
Predictive Uncertainty Estimation via Prior Networks A. Malinin Mark Gales UD BDL EDL UQCV PER 205 923 0 28 Feb 2018
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric Richard Y. Zhang Phillip Isola Alexei A. Efros Eli Shechtman Oliver Wang EGVM 391 11,954 0 11 Jan 2018
Training Confidence-calibrated Classifiers for Detecting Out-of-Distribution Samples Kimin Lee Honglak Lee Kibok Lee Jinwoo Shin OODD 138 884 0 26 Nov 2017
Foreground Detection in Camouflaged Scenes Shuai Li D. Florêncio Yaqin Zhao Chris Cook W. Li 51 30 0 11 Jul 2017