Dream the Impossible: Outlier Imagination with Diffusion Models

23 September 2023

Papers citing "Dream the Impossible: Outlier Imagination with Diffusion Models"

50 / 51 papers shown

Title
Noise-Consistent Siamese-Diffusion for Medical Image Synthesis and Segmentation Kunpeng Qiu Zhiqiang Gao Zhiying Zhou Mingjie Sun Yongxin Guo MedIm 34 0 0 09 May 2025
Dream-Box: Object-wise Outlier Generation for Out-of-Distribution Detection Brian K. S. Isaac-Medina T. Breckon OODD 150 0 0 25 Apr 2025
Enhancing Out-of-Distribution Detection with Extended Logit Normalization Yifan Ding Xixi Liu Jonas Unger Gabriel Eilertsen OODD 26 0 0 15 Apr 2025
Can Text-to-Video Generation help Video-Language Alignment? Luca Zanella Massimiliano Mancini Willi Menapace Sergey Tulyakov Yiming Wang Elisa Ricci DiffM VGen 57 0 0 24 Mar 2025
AdaSCALE: Adaptive Scaling for OOD Detection Sudarshan Regmi OODD 54 0 0 11 Mar 2025
Multi-label out-of-distribution detection via evidential learning Eduardo Aguilar Bogdan Raducanu P. Radeva OODD 58 0 0 25 Feb 2025
GOLD: Graph Out-of-Distribution Detection via Implicit Adversarial Latent Generation Danny Wang Ruihong Qiu Guangdong Bai Zi Huang 110 0 0 09 Feb 2025
Out-of-Distribution Detection using Synthetic Data Generation Momin Abbas Muneeza Azmat R. Horesh Mikhail Yurochkin 47 1 0 05 Feb 2025
ARES: Auxiliary Range Expansion for Outlier Synthesis Eui-Soo Jung Hae-Hun Seo Hyun-Woo Jung Je-Geon Oh Yoon-Yeong Kim OODD 51 0 0 11 Jan 2025
FodFoM: Fake Outlier Data by Foundation Models Creates Stronger Visual Out-of-Distribution Detector Jiankang Chen Ling Deng Zhiyong Gan Wei-Shi Zheng Ruixuan Wang OODD 89 0 0 22 Nov 2024
Going Beyond Conventional OOD Detection Sudarshan Regmi OODD 58 1 0 16 Nov 2024
PViT: Prior-augmented Vision Transformer for Out-of-distribution Detection Tianhao Zhang Zhixiang Chen Lyudmila Mihaylova 131 0 0 27 Oct 2024
What If the Input is Expanded in OOD Detection? Boxuan Zhang Jianing Zhu Zengmao Wang Tongliang Liu Bo Du Bo Han AAML OODD 26 0 0 24 Oct 2024
Reflexive Guidance: Improving OoDD in Vision-Language Models via Self-Guided Image-Adaptive Concept Generation Seulbi Lee J. Kim Sangheum Hwang LRM 130 0 0 19 Oct 2024
Process Reward Model with Q-Value Rankings W. Li Yixuan Li LRM 59 15 0 15 Oct 2024
Understanding and Mitigating Miscalibration in Prompt Tuning for Vision-Language Models Shuoyuan Wang Yixuan Li Hongxin Wei VLM 51 2 0 03 Oct 2024
VLMGuard: Defending VLMs against Malicious Prompts via Unlabeled Data Xuefeng Du Reshmi Ghosh Robert Sim Ahmed Salem Vitor Carvalho Emily Lawton Yixuan Li Jack W. Stokes VLM AAML 38 6 0 01 Oct 2024
Proto-OOD: Enhancing OOD Object Detection with Prototype Feature Similarity Junkun Chen Jilin Mei Liang Chen Fangzhou Zhao Yu Hu Yu Hu ObjD 40 0 0 09 Sep 2024
Can OOD Object Detectors Learn from Foundation Models? Jiahui Liu Xin Wen Shizhen Zhao Y. Chen Xiaojuan Qi OODD 40 2 0 08 Sep 2024
LoGex: Improved tail detection of extremely rare histopathology classes via guided diffusion Maximilian Mueller Matthias Hein MedIm 40 0 0 02 Sep 2024
DNN-GDITD: Out-of-distribution detection via Deep Neural Network based Gaussian Descriptor for Imbalanced Tabular Data Priyanka Chudasama Anil Surisetty Aakarsh Malhotra Alok Singh 22 0 0 02 Sep 2024
Diffusion based Semantic Outlier Generation via Nuisance Awareness for Out-of-Distribution Detection Suhee Yoon Sanghyu Yoon Hankook Lee Ye Seul Sim Sungik Choi Kyungeun Lee Hye-Seung Cho Woohyung Lim 33 0 0 27 Aug 2024
Out-of-Distribution Learning with Human Feedback Haoyue Bai Xuefeng Du Katie Rainey Shibin Parameswaran Yixuan Li OODD 26 3 0 14 Aug 2024
Craft: Cross-modal Aligned Features Improve Robustness of Prompt Tuning Jingchen Sun Rohan Sharma Vishnu Suresh Lokhande Changyou Chen 41 0 0 22 Jul 2024
Self-Guided Generation of Minority Samples Using Diffusion Models Soobin Um Jong Chul Ye DiffM 34 4 0 16 Jul 2024
How Out-of-Distribution Detection Learning Theory Enhances Transformer: Learnability and Reliability Yijin Zhou Yuguang Wang Xiaowen Dong Yuguang Wang 48 0 0 13 Jun 2024
When and How Does In-Distribution Label Help Out-of-Distribution Detection? Xuefeng Du Yiyou Sun Yixuan Li 37 7 0 28 May 2024
Robust Disaster Assessment from Aerial Imagery Using Text-to-Image Synthetic Data Tarun Kalluri Jihyeon Janel Lee Kihyuk Sohn Sahil Singla Manmohan Chandraker Joseph Z. Xu Jeremiah Liu 49 1 0 22 May 2024
Future-Proofing Class-Incremental Learning Quentin Jodelet Xin Liu Yin Jun Phua Tsuyoshi Murata VLM 41 2 0 04 Apr 2024
ImageNet-D: Benchmarking Neural Network Robustness on Diffusion Synthetic Object Chenshuang Zhang Fei Pan Junmo Kim In So Kweon Chengzhi Mao 49 9 1 27 Mar 2024
Placing Objects in Context via Inpainting for Out-of-distribution Segmentation Pau de Jorge Riccardo Volpi P. Dokania Philip H. S. Torr Grégory Rogez DiffM 55 5 0 26 Feb 2024
DFA-RAG: Conversational Semantic Router for Large Language Model with Definite Finite Automaton Yiyou Sun Junjie Hu Wei Cheng Haifeng Chen RALM AI4CE 34 1 0 06 Feb 2024
How Does Unlabeled Data Provably Help Out-of-Distribution Detection? Xuefeng Du Zhen Fang Ilias Diakonikolas Yixuan Li OODD 43 27 0 05 Feb 2024
ARGS: Alignment as Reward-Guided Search Maxim Khanov Jirayu Burapacheep Yixuan Li 35 44 0 23 Jan 2024
RankFeat&RankWeight: Rank-1 Feature/Weight Removal for Out-of-distribution Detection Yue Song N. Sebe Wei Wang OODD 38 1 0 23 Nov 2023
A Graph-Theoretic Framework for Understanding Open-World Semi-Supervised Learning Yiyou Sun Zhenmei Shi Yixuan Li OffRL 37 20 0 06 Nov 2023
TP2O: Creative Text Pair-to-Object Generation using Balance Swap-Sampling Jun Li Zedong Zhang Jian Yang DiffM 32 6 0 03 Oct 2023
Conservative Prediction via Data-Driven Confidence Minimization Caroline Choi Fahim Tajwar Yoonho Lee Huaxiu Yao Ananya Kumar Chelsea Finn 31 5 0 08 Jun 2023
A Survey on Out-of-Distribution Detection in NLP Hao Lang Yinhe Zheng Yixuan Li Jian Sun Feiling Huang Yongbin Li 29 20 0 05 May 2023
MagicMix: Semantic Mixing with Diffusion Models Jun Hao Liew Hanshu Yan Daquan Zhou Jiashi Feng DiffM 184 60 0 28 Oct 2022
Out-of-Distribution Detection and Selective Generation for Conditional Language Models Jie Jessie Ren Jiaming Luo Yao-Min Zhao Kundan Krishna Mohammad Saleh Balaji Lakshminarayanan Peter J. Liu OODD 72 94 0 30 Sep 2022
Extremely Simple Activation Shaping for Out-of-Distribution Detection Andrija Djurisic Nebojsa Bozanic Arjun Ashok Rosanne Liu OODD 169 150 0 20 Sep 2022
Brain Imaging Generation with Latent Diffusion Models W. H. Pinaya Petru-Daniel Tudosiu J. Dafflon P. F. D. Costa Virginia Fernandez P. Nachev Sebastien Ourselin M. Jorge Cardoso DiffM MedIm 102 285 0 15 Sep 2022
Mitigating Neural Network Overconfidence with Logit Normalization Hongxin Wei Renchunzi Xie Hao-Ran Cheng Lei Feng Bo An Yixuan Li OODD 163 266 0 19 May 2022
VOS: Learning What You Don't Know by Virtual Outlier Synthesis Xuefeng Du Zhaoning Wang Mu Cai Yixuan Li OODD 178 220 0 02 Feb 2022
Palette: Image-to-Image Diffusion Models Chitwan Saharia William Chan Huiwen Chang Chris A. Lee Jonathan Ho Tim Salimans David J. Fleet Mohammad Norouzi DiffM VLM 342 1,591 0 10 Nov 2021
Generalized Out-of-Distribution Detection: A Survey Jingkang Yang Kaiyang Zhou Yixuan Li Ziwei Liu 185 879 0 21 Oct 2021
On the Importance of Gradients for Detecting Distributional Shifts in the Wild Rui Huang Andrew Geng Yixuan Li 195 328 0 01 Oct 2021
Noise-robust Graph Learning by Estimating and Leveraging Pairwise Interactions Xuefeng Du Tian Bian Yu Rong Bo Han Tongliang Liu Tingyang Xu Wenbing Huang Yixuan Li Junzhou Huang NoLa 35 11 0 14 Jun 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,661 0 05 Dec 2016