Describing Textures in the Wild

14 November 2013

Andrea Vedaldi

Papers citing "Describing Textures in the Wild"

50 / 84 papers shown

Title
Mahalanobis++: Improving OOD Detection via Feature Normalization Maximilian Mueller Matthias Hein OODD 76 0 0 23 May 2025
Enhancing Adversarial Robustness of Vision Language Models via Adversarial Mixture Prompt Tuning Shiji Zhao Qihui Zhu Shukun Xiong Shouwei Ruan Yize Fan Ranjie Duan Qing Guo Xingxing Wei AAML VLM 36 0 0 23 May 2025
PathoSCOPE: Few-Shot Pathology Detection via Self-Supervised Contrastive Learning and Pathology-Informed Synthetic Embeddings Sinchee Chin Yinuo Ma Xiaochen Yang Jing-Hao Xue Wenming Yang SSL MedIm 21 0 0 23 May 2025
FDBPL: Faster Distillation-Based Prompt Learning for Region-Aware Vision-Language Models Adaptation Zherui Zhang Jiaxin Wu Changwei Wang Rongtao Xu Longzhao Huang Wenhao Xu Wenbo Xu Li Guo Shibiao Xu VLM VPVLM 59 0 0 23 May 2025
TULiP: Test-time Uncertainty Estimation via Linearization and Weight Perturbation Yuhui Zhang Dongshen Wu Yuichiro Wada Takafumi Kanamori OODD 80 1 0 22 May 2025
Prompt Tuning Vision Language Models with Margin Regularizer for Few-Shot Learning under Distribution Shifts Debarshi Brahma Anuska Roy Soma Biswas VLM 99 0 0 21 May 2025
Enhancing Target-unspecific Tasks through a Features Matrix Fangming Cui Yonggang Zhang Xuan Wang Xinmei Tian Jun Yu AAML 66 1 0 06 May 2025
Token Coordinated Prompt Attention is Needed for Visual Prompting Zichen Liu Xu Zou Gang Hua Jiahuan Zhou 114 0 0 05 May 2025
Mitigating Cache Noise in Test-Time Adaptation for Large Vision-Language Models Haotian Zhai Xinyu Chen Can Zhang Tianming Sha Ruirui Li BDL VLM 115 0 0 24 Mar 2025
BackMix: Regularizing Open Set Recognition by Removing Underlying Fore-Background Priors Yu Wang Junxian Mu Hongzhi Huang Qilong Wang Pengfei Zhu Q. Hu 115 1 0 22 Mar 2025
Conjuring Positive Pairs for Efficient Unification of Representation Learning and Image Synthesis Imanol G. Estepa Jesús M. Rodríguez-de-Vera Ignacio Sarasúa Bhalaji Nagarajan Petia Radeva 96 0 0 19 Mar 2025
TLAC: Two-stage LMM Augmented CLIP for Zero-Shot Classification Ans Munir Faisal Z. Qureshi M. H. Khan Mohsen Ali VLM 87 0 0 15 Mar 2025
APLA: A Simple Adaptation Method for Vision Transformers Moein Sorkhei Emir Konuk Kevin Smith Christos Matsoukas 64 0 0 14 Mar 2025
Implicit Contrastive Representation Learning with Guided Stop-gradient Byeongchan Lee Sehyun Lee SSL 148 2 0 12 Mar 2025
Bayesian Test-Time Adaptation for Vision-Language Models Lihua Zhou Mao Ye Shuaifeng Li Nianxin Li Xiatian Zhu Lei Deng Hongbin Liu Zhen Lei BDL VLM TTA 124 1 0 12 Mar 2025
MMRL: Multi-Modal Representation Learning for Vision-Language Models Yuncheng Guo Xiaodong Gu VLM OffRL 340 3 0 11 Mar 2025
OT-DETECTOR: Delving into Optimal Transport for Zero-shot Out-of-Distribution Detection Yu Liu Hao Tang Haiqi Zhang Jing Qin Zechao Li OODD 88 0 0 09 Mar 2025
ISP-AD: A Large-Scale Real-World Dataset for Advancing Industrial Anomaly Detection with Synthetic and Real Defects Paul J. Krassnig Dieter P. Gruber 363 0 0 06 Mar 2025
On the Relationship Between Double Descent of CNNs and Shape/Texture Bias Under Learning Process Shun Iwase Shuya Takahashi Nakamasa Inoue Rio Yokota Ryo Nakamura Hirokatsu Kataoka 106 0 0 04 Mar 2025
CADRef: Robust Out-of-Distribution Detection via Class-Aware Decoupled Relative Feature Leveraging Zhiwei Ling Yachen Chang Hailiang Zhao Xinkui Zhao Kingsum Chow Shuiguang Deng OODD 96 0 0 01 Mar 2025
Make LoRA Great Again: Boosting LoRA with Adaptive Singular Values and Mixture-of-Experts Optimization Alignment Chenghao Fan Zhenyi Lu Sichen Liu Xiaoye Qu Xiaoye Qu Wei Wei Yu Cheng MoE 373 0 0 24 Feb 2025
Parameter Efficient Merging for Multimodal Large Language Models with Complementary Parameter Adaptation Fanhu Zeng Haiyang Guo Fei Zhu Li Shen Hao Tang MoMe 105 1 0 24 Feb 2025
MIM-Refiner: A Contrastive Learning Boost from Intermediate Pre-Trained Representations Benedikt Alkin Lukas Miklautz Sepp Hochreiter Johannes Brandstetter VLM 129 8 0 24 Feb 2025
R-MTLLMF: Resilient Multi-Task Large Language Model Fusion at the Wireless Edge Aladin Djuhera Vlad-Costin Andrei Mohsen Pourghasemian Haris Gacanin Holger Boche Walid Saad MoMe 135 0 0 24 Feb 2025
NEAT: Nonlinear Parameter-efficient Adaptation of Pre-trained Models Yibo Zhong Haoxiang Jiang Lincan Li Ryumei Nakada Tianci Liu Linjun Zhang Huaxiu Yao Haoyu Wang 138 2 0 24 Feb 2025
Gradient entropy (GradEn): The two dimensional version of slope entropy for image analysis Runze Jiang Pengjian Shang 38 0 0 23 Feb 2025
Transfer Learning with Pre-trained Conditional Generative Models Shin'ya Yamaguchi Sekitoshi Kanai Atsutoshi Kumagai Daiki Chijiwa H. Kashima VLM CLL BDL DiffM 202 5 0 21 Feb 2025
Scalable Model Merging with Progressive Layer-wise Distillation Jing Xu Jiazheng Li J.N. Zhang MoMe FedML 180 2 0 18 Feb 2025
KARST: Multi-Kernel Kronecker Adaptation with Re-Scaling Transmission for Visual Classification Yue Zhu Haiwen Diao Shang Gao Long Chen Huchuan Lu 114 0 0 10 Feb 2025
Model Diffusion for Certifiable Few-shot Transfer Learning Fady Rezk Royson Lee Henry Gouk Timothy M. Hospedales Minyoung Kim 86 0 0 10 Feb 2025
Do we really have to filter out random noise in pre-training data for language models? Jinghan Ru Yuxin Xie Xianwei Zhuang Yuguo Yin Zhihui Guo Zhiming Liu Qianli Ren Yuexian Zou 115 4 0 10 Feb 2025
Understanding Representation Dynamics of Diffusion Models via Low-Dimensional Modeling Xiao Li Zekai Zhang Xiang Li Siyi Chen Zhihui Zhu Peng Wang Qing Qu DiffM 93 0 0 09 Feb 2025
Technical report on label-informed logit redistribution for better domain generalization in low-shot classification with foundation models Behraj Khan T. Syed 368 1 0 29 Jan 2025
Provably Safeguarding a Classifier from OOD and Adversarial Samples: an Extreme Value Theory Approach Nicolas Atienza Christophe Labreuche Johanne Cohen Michele Sebag OODD AAML 313 0 0 20 Jan 2025
ProKeR: A Kernel Perspective on Few-Shot Adaptation of Large Vision-Language Models Yassir Bendou Amine Ouasfi Vincent Gripon A. Boukhayma VLM 89 0 0 19 Jan 2025
Multi-Task Model Merging via Adaptive Weight Disentanglement Feng Xiong Runxi Cheng Wang Chen Zhanqiu Zhang Yiwen Guo Chun Yuan Ruifeng Xu MoMe 154 5 0 10 Jan 2025
Fresh-CL: Feature Realignment through Experts on Hypersphere in Continual Learning Zhongyi Zhou Chaomin Shen Pin Yi Minjie Zhu Yaxin Peng 345 0 0 04 Jan 2025
The Unmet Promise of Synthetic Training Images: Using Retrieved Real Images Performs Better Scott Geng Cheng-Yu Hsieh Vivek Ramanujan Matthew Wallingford Chun-Liang Li Pang Wei Koh Ranjay Krishna DiffM 86 7 0 03 Jan 2025
Kernel-Aware Graph Prompt Learning for Few-Shot Anomaly Detection Fenfang Tao G. Xie Fang Zhao Xiangbo Shu 77 2 0 23 Dec 2024
UNEM: UNrolled Generalized EM for Transductive Few-Shot Learning Long Zhou Fereshteh Shakeri Aymen Sadraoui Mounir Kaaniche J. Pesquet Ismail Ben Ayed VLM 123 0 0 21 Dec 2024
CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance Chu Myaet Thwal Ye Lin Tun Minh N. H. Nguyen Eui-nam Huh Choong Seon Hong VLM 90 0 0 05 Dec 2024
COSMOS: Cross-Modality Self-Distillation for Vision Language Pre-training Sanghwan Kim Rui Xiao Mariana-Iuliana Georgescu Stephan Alaniz Zeynep Akata VLM 168 2 0 02 Dec 2024
Adaptive Rank, Reduced Forgetting: Knowledge Retention in Continual Learning Vision-Language Models with Dynamic Rank-Selective LoRA Haodong Lu Chongyang Zhao Jason Xue Lina Yao Kristen Moore Dong Gong CLL KELM VLM 119 7 0 01 Dec 2024
CLIP meets DINO for Tuning Zero-Shot Classifier using Unlabeled Image Collections Mohamed Fazli Mohamed Imam Rufael Fedaku Marew Jameel Hassan Mustansar Fiaz Alham Fikri Aji Hisham Cholakkal VLM 393 0 0 28 Nov 2024
Task Singular Vectors: Reducing Task Interference in Model Merging Antonio Andrea Gargiulo Donato Crisostomi Maria Sofia Bucarelli Simone Scardapane Fabrizio Silvestri Emanuele Rodolà MoMe 119 14 0 26 Nov 2024
Adversarial Prompt Distillation for Vision-Language Models Lin Luo Xin Wang Bojia Zi Shihao Zhao Xingjun Ma Yu-Gang Jiang AAML VLM 103 3 0 22 Nov 2024
Going Beyond Conventional OOD Detection Sudarshan Regmi OODD 79 1 0 16 Nov 2024
Double Descent Meets Out-of-Distribution Detection: Theoretical Insights and Empirical Analysis on the role of model complexity Mouin Ben Ammar David Brellmann Arturo Mendoza Antoine Manzanera Gianni Franchi OODD 69 0 0 04 Nov 2024
ResiDual Transformer Alignment with Spectral Decomposition Lorenzo Basile Valentino Maiorca Luca Bortolussi Emanuele Rodolà Francesco Locatello 107 1 0 31 Oct 2024
TACO: Adversarial Camouflage Optimization on Trucks to Fool Object Detectors Adonisz Dimitriu Tamás Michaletzky Viktor Remeli AAML 341 0 0 28 Oct 2024