Describing Textures in the Wild

14 November 2013

Andrea Vedaldi

Papers citing "Describing Textures in the Wild"

34 / 84 papers shown

Title
PViT: Prior-augmented Vision Transformer for Out-of-distribution Detection Tianhao Zhang Zhixiang Chen Lyudmila Mihaylova 272 0 0 27 Oct 2024
Probabilistic Language-Image Pre-Training Sanghyuk Chun Wonjae Kim Song Park Sangdoo Yun MLLM VLM CLIP 426 4 2 24 Oct 2024
Assessing and improving reliability of neighbor embedding methods: a map-continuity perspective Zhexuan Liu Rong Ma Yiqiao Zhong 102 0 0 22 Oct 2024
Reflexive Guidance: Improving OoDD in Vision-Language Models via Self-Guided Image-Adaptive Concept Generation Seulbi Lee J. Kim Sangheum Hwang LRM 413 1 0 19 Oct 2024
Mitigating the Backdoor Effect for Multi-Task Model Merging via Safety-Aware Subspace Jinluan Yang Anke Tang Didi Zhu Zhengyu Chen Li Shen Leilei Gan MoMe AAML 122 6 0 17 Oct 2024
Tree of Attributes Prompt Learning for Vision-Language Models Tong Ding Wanhua Li Zhongqi Miao Hanspeter Pfister VLM 114 1 0 15 Oct 2024
GLOV: Guided Large Language Models as Implicit Optimizers for Vision Language Models Muhammad Jehanzeb Mirza Mengjie Zhao Zhuoyuan Mao Sivan Doveh Wei Lin ... Yuki Mitsufuji Horst Possegger Rogerio Feris Leonid Karlinsky James Glass VLM 148 1 0 08 Oct 2024
Generalizable Prompt Tuning for Vision-Language Models Qian Zhang VLM VPVLM 106 0 0 04 Oct 2024
Revisiting Prefix-tuning: Statistical Benefits of Reparameterization among Prompts Minh Le Chau Nguyen Huy Nguyen Quyen Tran Trung Le Nhat Ho 91 6 0 03 Oct 2024
Understanding and Mitigating Miscalibration in Prompt Tuning for Vision-Language Models Shuoyuan Wang Yixuan Li Hongxin Wei VLM 108 2 0 03 Oct 2024
Exploring Information-Theoretic Metrics Associated with Neural Collapse in Supervised Training Kun Song Zhiquan Tan Bochao Zou Jiansheng Chen Huimin Ma Weiran Huang 105 1 0 25 Sep 2024
On Synthetic Texture Datasets: Challenges, Creation, and Curation Blaine Hoak Patrick McDaniel EGVM 127 0 0 16 Sep 2024
Contrastive Learning with Synthetic Positives Dewen Zeng Yawen Wu Xinrong Hu Xiaowei Xu Yiyu Shi SyDa SSL 116 1 0 30 Aug 2024
Diffusion based Semantic Outlier Generation via Nuisance Awareness for Out-of-Distribution Detection Suhee Yoon Sanghyu Yoon Ye Seul Sim Sungik Choi Kyungeun Lee Hye-Seung Cho Hankook Lee Woohyung Lim 67 0 0 27 Aug 2024
Deciphering the Definition of Adversarial Robustness for post-hoc OOD Detectors Peter Lorenz Mario Fernandez Jens Müller Ullrich Kothe AAML 112 1 0 21 Jun 2024
Advancing Fine-Grained Classification by Structure and Subject Preserving Augmentation Eyal Michaeli Ohad Fried 81 1 0 20 Jun 2024
Which Backbone to Use: A Resource-efficient Domain Specific Comparison for Computer Vision Pranav Jeevan Amit Sethi VLM 75 5 0 09 Jun 2024
Pursuing Feature Separation based on Neural Collapse for Out-of-Distribution Detection Yingwen Wu Ruiji Yu Xinwen Cheng Zhengbao He Xiaolin Huang OODD 93 3 0 28 May 2024
Synergy and Diversity in CLIP: Enhancing Performance Through Adaptive Backbone Ensembling Cristian Rodriguez-Opazo Ehsan Abbasnejad Damien Teney Edison Marrese-Taylor Hamed Damirchi Anton Van Den Hengel VLM 92 1 0 27 May 2024
What Do You See? Enhancing Zero-Shot Image Classification with Multimodal Large Language Models Abdelrahman Abdelhamed Mahmoud Afifi Alec Go MLLM VLM 89 3 0 24 May 2024
Energy-based Hopfield Boosting for Out-of-Distribution Detection Claus Hofmann Simon Schmid Bernhard Lehner Daniel Klotz Sepp Hochreiter OODD 88 9 0 14 May 2024
MAPL: Memory Augmentation and Pseudo-Labeling for Semi-Supervised Anomaly Detection Junzhuo Chen Shitong Kang 70 0 0 10 May 2024
Modeling Caption Diversity in Contrastive Vision-Language Pretraining Samuel Lavoie Polina Kirichenko Mark Ibrahim Mahmoud Assran Andrew Gordon Wilson Aaron Courville Nicolas Ballas CLIP VLM 104 23 0 30 Apr 2024
RankCLIP: Ranking-Consistent Language-Image Pretraining Yiming Zhang Zhuokai Zhao Zhaorun Chen Zhili Feng Zenghui Ding Yining Sun SSL VLM 90 7 0 15 Apr 2024
Flatness Improves Backbone Generalisation in Few-shot Classification Rui Li Martin Trapp Talal Alrawajfeh Arno Solin 100 0 0 11 Apr 2024
Kernel PCA for Out-of-Distribution Detection Kun Fang Qinghua Tao Kexin Lv Mingzhen He Xiaolin Huang Jie Yang OODD 98 2 0 05 Feb 2024
Out-of-Distribution Detection & Applications With Ablated Learned Temperature Energy Will LeVine Benjamin Pikus Jacob Phillips Berk Norman Fernando Amat Gil Sean Hendryx OODD 131 1 0 22 Jan 2024
Diversify, Don't Fine-Tune: Scaling Up Visual Recognition Training with Synthetic Images Zhuoran Yu Chenchen Zhu Sean Culatana Raghuraman Krishnamoorthi Fanyi Xiao Yong Jae Lee 149 15 0 04 Dec 2023
Mixture of Gaussian-distributed Prototypes with Generative Modelling for Interpretable and Trustworthy Image Recognition Chong Wang Yuanhong Chen Fengbei Liu Yuyuan Liu Davis J. McCarthy Helen Frazer Gustavo Carneiro 109 1 0 30 Nov 2023
Deep Learning for Cross-Domain Few-Shot Visual Recognition: A Survey Huali Xu Shuaifeng Zhi Shuzhou Sun Vishal M. Patel Li Liu 104 14 0 15 Mar 2023
DiffusionAD: Norm-guided One-step Denoising Diffusion for Anomaly Detection Hui Zhang Zheng Wang Dan Zeng Zuxuan Wu Yu-Gang Jiang DiffM 113 31 0 15 Mar 2023
CLIP-Adapter: Better Vision-Language Models with Feature Adapters Peng Gao Shijie Geng Renrui Zhang Teli Ma Rongyao Fang Yongfeng Zhang Hongsheng Li Yu Qiao VLM CLIP 287 1,042 0 09 Oct 2021
FCSR-GAN: Joint Face Completion and Super-resolution via Multi-task Learning Jiancheng Cai Hu Han Shiguang Shan Xilin Chen GAN CVBM 75 41 0 04 Nov 2019
DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition Jeff Donahue Yangqing Jia Oriol Vinyals Judy Hoffman Ning Zhang Eric Tzeng Trevor Darrell VLM ObjD 183 4,950 0 06 Oct 2013