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2410.14975
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Reflexive Guidance: Improving OoDD in Vision-Language Models via Self-Guided Image-Adaptive Concept Generation
19 October 2024
Seulbi Lee
J. Kim
Sangheum Hwang
LRM
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Papers citing
"Reflexive Guidance: Improving OoDD in Vision-Language Models via Self-Guided Image-Adaptive Concept Generation"
50 / 52 papers shown
Title
Leveraging Latent Diffusion Models for Training-Free In-Distribution Data Augmentation for Surface Defect Detection
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Franco Fummi
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Luigi Capogrosso
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ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools
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Zhaoyu Wang
Zhen Yang
Zhengxiao Du
Zhenyu Hou
Zihan Wang
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18 Jun 2024
Exploiting Diffusion Prior for Out-of-Distribution Detection
Armando Zhu
Jiabei Liu
Keqin Li
Shuying Dai
Bo Hong
Peng Zhao
Changsong Wei
310
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16 Jun 2024
OmniCorpus: A Unified Multimodal Corpus of 10 Billion-Level Images Interleaved with Text
Qingyun Li
Zhe Chen
Weiyun Wang
Wenhai Wang
Shenglong Ye
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Dahua Lin
Yu Qiao
Botian Shi
Conghui He
Jifeng Dai
VLM
OffRL
196
46
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12 Jun 2024
Envisioning Outlier Exposure by Large Language Models for Out-of-Distribution Detection
Chentao Cao
Zhun Zhong
Zhanke Zhou
Yang Liu
Tongliang Liu
Bo Han
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182
24
0
02 Jun 2024
Defensive Unlearning with Adversarial Training for Robust Concept Erasure in Diffusion Models
Yimeng Zhang
Xin Chen
Jinghan Jia
Yihua Zhang
Chongyu Fan
Jiancheng Liu
Mingyi Hong
Ke Ding
Sijia Liu
DiffM
405
108
0
24 May 2024
Overconfidence is Key: Verbalized Uncertainty Evaluation in Large Language and Vision-Language Models
Tobias Groot
Matias Valdenegro-Toro
115
29
0
05 May 2024
How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites
Zhe Chen
Weiyun Wang
Hao Tian
Shenglong Ye
Zhangwei Gao
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Tong Lu
Dahua Lin
Yu Qiao
Jifeng Dai
Wenhai Wang
MLLM
VLM
438
955
0
25 Apr 2024
Negative Label Guided OOD Detection with Pretrained Vision-Language Models
Xue Jiang
Yifan Zhang
Zhengfeng Fang
Hong Chen
Tongliang Liu
Feng Zheng
Bo Han
VLM
231
58
0
29 Mar 2024
Scaling Rectified Flow Transformers for High-Resolution Image Synthesis
Patrick Esser
Sumith Kulal
A. Blattmann
Rahim Entezari
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Zion English
Kyle Lacey
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Sunjae Kwon
Yekyung Kim
Donghyun Kim
134
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0
09 Feb 2024
Mementos: A Comprehensive Benchmark for Multimodal Large Language Model Reasoning over Image Sequences
Xiyao Wang
Yuhang Zhou
Xiaoyu Liu
Hongjin Lu
Yuancheng Xu
...
Taixi Lu
Gedas Bertasius
Mohit Bansal
Huaxiu Yao
Furong Huang
LRM
VLM
297
95
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19 Jan 2024
Fast Decision Boundary based Out-of-Distribution Detector
International Conference on Machine Learning (ICML), 2023
Litian Liu
Yao Qin
OODD
309
34
0
15 Dec 2023
How Well Does GPT-4V(ision) Adapt to Distribution Shifts? A Preliminary Investigation
Zhongyi Han
Guanglin Zhou
Rundong He
Yongfeng Zhang
Tailin Wu
Yilong Yin
Salman Khan
Lina Yao
Tongliang Liu
Kun Zhang
VLM
OOD
196
26
0
12 Dec 2023
GPT-4V(ision) for Robotics: Multimodal Task Planning from Human Demonstration
IEEE Robotics and Automation Letters (RA-L), 2023
Naoki Wake
Atsushi Kanehira
Kazuhiro Sasabuchi
Jun Takamatsu
Katsushi Ikeuchi
LM&Ro
287
98
0
20 Nov 2023
Out-of-distribution Detection Learning with Unreliable Out-of-distribution Sources
Neural Information Processing Systems (NeurIPS), 2023
Haotian Zheng
Qizhou Wang
Zhen Fang
Xiaobo Xia
Yifan Zhang
Tongliang Liu
Bo Han
392
37
0
06 Nov 2023
Scaling for Training Time and Post-hoc Out-of-distribution Detection Enhancement
International Conference on Learning Representations (ICLR), 2023
Kai Xu
Rongyu Chen
Gianni Franchi
Angela Yao
OODD
228
57
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30 Sep 2023
Dream the Impossible: Outlier Imagination with Diffusion Models
Neural Information Processing Systems (NeurIPS), 2023
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Yiyou Sun
Xiaojin Zhu
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265
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Efficient Memory Management for Large Language Model Serving with PagedAttention
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Siyuan Zhuang
Ying Sheng
Lianmin Zheng
Cody Hao Yu
Joseph E. Gonzalez
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CLIPN for Zero-Shot OOD Detection: Teaching CLIP to Say No
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Yi Li
Huifeng Yao
Xuelong Li
VLM
OODD
284
145
0
23 Aug 2023
DiffGuard: Semantic Mismatch-Guided Out-of-Distribution Detection using Pre-trained Diffusion Models
IEEE International Conference on Computer Vision (ICCV), 2023
Ruiyuan Gao
Chenchen Zhao
Lanqing Hong
Q. Xu
193
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0
15 Aug 2023
LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day
Neural Information Processing Systems (NeurIPS), 2023
Chunyuan Li
Cliff Wong
Sheng Zhang
Naoto Usuyama
Haotian Liu
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Tristan Naumann
Hoifung Poon
Jianfeng Gao
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226
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01 Jun 2023
In or Out? Fixing ImageNet Out-of-Distribution Detection Evaluation
International Conference on Machine Learning (ICML), 2023
Julian Bitterwolf
Maximilian Müller
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OODD
249
122
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01 Jun 2023
Role-Play with Large Language Models
Nature (Nature), 2023
Murray Shanahan
Kyle McDonell
Laria Reynolds
LLMAG
197
413
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25 May 2023
Uncertainty-Aware Optimal Transport for Semantically Coherent Out-of-Distribution Detection
Computer Vision and Pattern Recognition (CVPR), 2023
Fan Lu
Kai Zhu
Wei Zhai
Kecheng Zheng
Yang Cao
UQCV
257
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0
18 Mar 2023
Non-Parametric Outlier Synthesis
International Conference on Learning Representations (ICLR), 2023
Leitian Tao
Xuefeng Du
Xiaojin Zhu
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OODD
218
140
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Reproducible scaling laws for contrastive language-image learning
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Mehdi Cherti
Romain Beaumont
Ross Wightman
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Gabriel Ilharco
Cade Gordon
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Ludwig Schmidt
J. Jitsev
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Yifei Ming
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ReAct: Synergizing Reasoning and Acting in Language Models
International Conference on Learning Representations (ICLR), 2022
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Extremely Simple Activation Shaping for Out-of-Distribution Detection
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Andrija Djurisic
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OODD
386
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Out-of-Distribution Detection with Deep Nearest Neighbors
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Yiyou Sun
Yifei Ming
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ViM: Out-Of-Distribution with Virtual-logit Matching
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Training OOD Detectors in their Natural Habitats
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191
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Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
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Single Layer Predictive Normalized Maximum Likelihood for Out-of-Distribution Detection
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Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networks
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