Describing Textures in the Wild

Cited by (1,001)

Items 201–300 of 1,001

1. A Network Architecture for Point Cloud Classification via Automatic Depth Images Generation
   Riccardo Roveri, Lukas Rahmann, Cengiz Öztireli, Markus H. Groß · 2018 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
2. Deep residual pooling network for texture recognition
   Shangbo Mao, Deepu Rajan, Liang Tien Chia · 2021 · Pattern Recognition
3. Dressing in Order: Recurrent Person Image Generation for Pose Transfer, Virtual Try-on and Outfit Editing
   Aiyu Cui, Daniel McKee, Svetlana Lazebnik · 2021 · IEEE/CVF International Conference on Computer Vision (ICCV)
4. Trilled /r/ is associated with roughness, linking sound and touch across spoken languages
   Bodo Winter, Márton Sóskuthy, Marcus Perlman, Mark Dingemanse · 2022 · Scientific Reports
5. Learning Domain Invariant Prompt for Vision-Language Models
   Cairong Zhao, Yubin Wang, Xinyang Jiang, Yifei Shen, Kaitao Song, Dongsheng Li, Duoqian Miao · 2024 · IEEE Transactions on Image Processing
6. Adaptive CU Mode Selection in HEVC Intra Prediction: A Deep Learning Approach
   Shiba P. Kuanar, K.R. Rao, Monalisa Bilas, Jonathan W. Bredow · 2019 · Circuits Systems and Signal Processing
7. Histogram Layers for Texture Analysis
   Joshua Peeples, Weihuang Xu, Alina Zare · 2021 · IEEE Transactions on Artificial Intelligence
8. PiCO+: Contrastive Label Disambiguation for Robust Partial Label Learning
   Haobo Wang, Ruixuan Xiao, Yixuan Li, Lei Feng, Gang Niu, Gang Chen, Junbo Zhao · 2023 · IEEE Transactions on Pattern Analysis and Machine Intelligence
9. Waffling around for Performance: Visual Classification with Random Words and Broad Concepts
   Karsten Roth, Jae Myung Kim, A. Sophia Koepke, Oriol Vinyals, Cordelia Schmid, Zeynep Akata · 2023 · IEEE/CVF International Conference on Computer Vision (ICCV)
10. Fine-Grained Material Classification Using Micro-geometry and Reflectance
    Christos Kampouris, Stefanos P. Zafeiriou, Abhijeet Ghosh, Sotiris Malassiotis · 2016 · Lecture notes in computer science
11. Automated classification of polyps using deep learning architectures and few-shot learning
    Adrian Krenzer, Stefan Heil, Daniel Fitting, Safa Matti, Wolfram G. Zoller, Alexander Hann, Frank Puppe · 2023 · BMC Medical Imaging
12. Rethinking Out-of-distribution (OOD) Detection: Masked Image Modeling is All You Need
    Jingyao Li, Pengguang Chen, Zexin He, Shaozuo Yu, Shu Liu, Jiaya Jia · 2023 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
13. A Multi-Modal, Discriminative and Spatially Invariant CNN for RGB-D Object Labeling
    Umar Asif, Mohammed Bennamoun, Ferdous Ahmed Sohel · 2017 · IEEE Transactions on Pattern Analysis and Machine Intelligence
14. Empirically Analyzing the Effect of Dataset Biases on Deep Face Recognition Systems
    Adam Kortylewski, Bernhard Egger, Andreas Schneider, Thomas Gerig, Andreas Morel-Forster, Thomas R. Vetter · 2018 · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
15. Locally-Transferred Fisher Vectors for Texture Classification
    Yang Song, Fan Zhang, Qing Li, Heng Huang, Lauren J. O’Donnell, Weidong Cai · 2017 · IEEE/CVF International Conference on Computer Vision (ICCV)
16. Bilinear CNNs for Fine-grained Visual Recognition
    Tsung‐Yu Lin, Aruni RoyChowdhury, Subhransu Maji · 2015 · arXiv (Cornell University)
17. Pattern-based image retrieval using GLCM
    Divya Srivastava, B. Rajitha, Suneeta Agarwal, Shruti Singh · 2018 · Neural Computing and Applications
18. Few-shot adaptation of multi-modal foundation models: a survey
    Fan Liu, Tianshu Zhang, Wenwen Dai, Chuanyi Zhang, Wenwen Cai, Xiaocong Zhou, Delong Chen · 2024 · Artificial Intelligence Review
19. DePT: Decoupled Prompt Tuning
    Ji Zhang, Shihan Wu, Lianli Gao, Heng Tao Shen, Jingkuan Song · 2024 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
20. RAID-G: Robust Estimation of Approximate Infinite Dimensional Gaussian with Application to Material Recognition
    Qilong Wang, Peihua Li, Wangmeng Zuo, Lei Zhang A · 2016 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
21. Coral reef image classification employing Improved LDP for feature extraction
    N. Ani Brown Mary, Dejey Dharma · 2017 · Journal of Visual Communication and Image Representation
22. Image Inpainting with External-internal Learning and Monochromic Bottleneck
    Tengfei Wang, Hao Ouyang, Qifeng Chen · 2021 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
23. Exploring plain ViT features for multi-class unsupervised visual anomaly detection
    Jiangning Zhang, Xuhai Chen, Yabiao Wang, Chengjie Wang, Yong Liu, Xiangtai Li, Ming–Hsuan Yang, Dacheng Tao · 2025 · Computer Vision and Image Understanding
24. Deep convolutional network with locality and sparsity constraints for texture classification
    Xingyuan Bu, Yuwei Wu, Zhi Feng Gao, Yunde Jia · 2019 · Pattern Recognition
25. Deep Texton-Coherence Network for Camouflaged Object Detection
    Wei Zhai, Yang Hua Cao, Haiyong Xie, Zheng-Jun Zha · 2022 · IEEE Transactions on Multimedia
26. AltCLIP: Altering the Language Encoder in CLIP for Extended Language Capabilities
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27. Understanding and Improving Visual Prompting: A Label-Mapping Perspective
    Aochuan Chen, Yuguang Yao, Pin‐Yu Chen, Yihua Zhang, Sijia Liu · 2023 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
28. Geometry-Informed Material Recognition
    Joseph DeGol, Mani Golparvar‐Fard, Derek Hoiem · 2016 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
29. Foreign object debris material recognition based on convolutional neural networks
    Haoyu Xu, Zhenqi Han, Songlin Feng, Han Zhou, Yuchun Fang · 2018 · EURASIP Journal on Image and Video Processing
30. Evaluation of LBP and Deep Texture Descriptors with a New Robustness Benchmark
    Li Liu, Paul Fieguth, Xiaogang Wang, Matti Pietikäinen, Dewen Hu · 2016 · Lecture notes in computer science
31. Video Emotion Recognition with Transferred Deep Feature Encodings
    Xu, Baohan, Fu, Yanwei, Jiang, Yu-Gang, Li, Boyang, Sigal, Leonid · 2016 · Proceedings of the 2016 ACM on International Conference on Multimedia Retrieval
32. Lightweight Modules for Efficient Deep Learning Based Image Restoration
    Avisek Lahiri, Sourav Bairagya, Sutanu Bera, Siddhant Haldar, Prabir Kumar Biswas · 2020 · IEEE Transactions on Circuits and Systems for Video Technology
33. Towards Discovery and Attribution of Open-world GAN Generated Images
    Sharath Girish, Saksham Suri, Sai Saketh Rambhatla, Abhinav Shrivastava · 2021 · IEEE/CVF International Conference on Computer Vision (ICCV)
34. Training Vision Transformers with only 2040 Images
    Yun-Hao Cao, Hao Yu, Jianxin Wu · 2022 · Lecture notes in computer science
35. Divide and Contrast: Self-supervised Learning from Uncurated Data
    Yonglong Tian, Olivier J. Hénaff, Aäron van den Oord · 2021 · IEEE/CVF International Conference on Computer Vision (ICCV)
36. Deep transfer learning for image classification: a survey
    J. Plested, Musa Phiri, Tom Gedeon · 2022 · Artificial Intelligence Review
37. FCSR-GAN: Joint Face Completion and Super-Resolution via Multi-Task Learning
    Jiancheng Cai, Hu Han, Shiguang Shan, Xilin Chen · 2019 · IEEE Transactions on Biometrics Behavior and Identity Science
38. Deep Multiple-Attribute-Perceived Network for Real-World Texture Recognition
    Wei Zhai, Yang Hua Cao, Jing Zhang, Zheng-Jun Zha · 2019 · IEEE/CVF International Conference on Computer Vision (ICCV)
39. A Deeper Look at Power Normalizations
    Piotr Koniusz, Hongguang Zhang, Fatih Porikli · 2018 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
40. Novel framework for image attribute annotation with gene selection XGBoost algorithm and relative attribute model
    Hongbin Zhang, Diedie Qiu, Renzhong Wu, Yixiong Deng, Donghong Ji, Tao Li · 2019 · Applied Soft Computing
41. Provable Guarantees for Understanding Out-of-Distribution Detection
    Peyman Morteza, Yixuan Li · 2022 · Proceedings of the AAAI Conference on Artificial Intelligence
42. Revisiting the Transferability of Supervised Pretraining: an MLP Perspective
    Yizhou Wang, Shixiang Tang, Feng Zhu, Lei Bai, Rui Zhao, Donglian Qi, Wanli Ouyang · 2022 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
43. Language-Driven Artistic Style Transfer
    Tsu-Jui Fu, Xin Eric Wang, William Yang Wang · 2022 · Lecture notes in computer science
44. Filtering, Distillation, and Hard Negatives for Vision-Language Pre-Training
    Filip Radenovic, Abhimanyu Dubey, Abhishek Kadian, Todor Mihaylov, Simon Vandenhende, Yash Patel, Y. Wen, Vignesh Ramanathan, D. Mahajan · 2023 · Computer Vision and Pattern Recognition
45. Enhancing CLIP with GPT-4: Harnessing Visual Descriptions as Prompts
    Mayug Maniparambil, Chris Vorster, Derek Molloy, Noel A. Murphy, Kevin McGuinness, Noel Edward O'Connor · 2023 · IEEE International Conference on Computer Vision Workshops
46. Constraint-Aware Deep Neural Network Compression
    Changan Chen, Frederick Tung, Naveen Vedula, Greg Mori · 2018 · Lecture notes in computer science
47. Brain Tumor Segmentation Based on Improved Convolutional Neural Network in Combination with Non-quantifiable Local Texture Feature
    Wu Deng, Qinke Shi, Kai Luo, Yi Yang, Ning Ning · 2019 · Journal of Medical Systems
48. A Survey on Contrastive Self-Supervised Learning
    Jaiswal, Ashish, Babu, Ashwin Ramesh, Zadeh, Mohammad Zaki, Banerjee, Debapriya, Makedon, Fillia · 2020 · Technologies
49. Convolutional Fine-Grained Classification With Self-Supervised Target Relation Regularization
    Kangjun Liu, Ke Chen, Kui Jia · 2022 · IEEE Transactions on Image Processing
50. Full-Spectrum Out-of-Distribution Detection
    Jingkang Yang, Kaiyang Zhou, Ziwei Liu · 2023 · International Journal of Computer Vision
51. Decoupling MaxLogit for Out-of-Distribution Detection
    Zihan Zhang, Xiang Xiang · 2023 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
52. A Closer Look at the Few-Shot Adaptation of Large Vision-Language Models
    Julio Silva-Rodríguez, Sina Hajimiri, Ismail Ben Ayed, José Dolz · 2024 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
53. DocFigure: A Dataset for Scientific Document Figure Classification
    K. V. Jobin, Ajoy Mondal, C. V. Jawahar · 2019 · International Conference on Document Analysis and Recognition Workshops (ICDARW)
54. Background Data Resampling for Outlier-Aware Classification
    Yi Li, Nuno M. Vasconcelos · 2020 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
55. DeFMO: Deblurring and Shape Recovery of Fast Moving Objects
    Denys Rozumnyi, Martin R. Oswald, Vittorio Ferrari, Jiřı́ Matas, Marc Pollefeys · 2021 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
56. Self-Organising Textures
    Eyvind Niklasson, Alexander Mordvintsev, Ettore Randazzo, Michael G. Levin · 2021 · Distill
57. Learning Visual Representation from Modality-Shared Contrastive Language-Image Pre-training
    Haoxuan You, Luowei Zhou, Bin Xiao, Noel Codella, Yu Cheng, Ruochen Xu, Shih‐Fu Chang, Lu Yuan · 2022 · Lecture notes in computer science
58. LASP: Text-to-Text Optimization for Language-Aware Soft Prompting of Vision & Language Models
    Adrian Bulat, Georgios Tzimiropoulos · 2023 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
59. Hand-Crafted vs Learned Descriptors for Color Texture Classification
    Paolo Napoletano · 2017 · Lecture notes in computer science
60. Texture Mixer: A Network for Controllable Synthesis and Interpolation of Texture
    Ning Yu, Connelly Barnes, Eli Shechtman, Sohrab Amirghodsi, Michal Lukáč · 2019 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
61. Facial-sketch Synthesis: A New Challenge
    Deng-Ping Fan, Ziling Huang, Peng Zheng, Hong Liu, Xuebin Qin, Luc Van Gool · 2022 · Machine Intelligence Research
62. Learning to Detect Every Thing in an Open World
    Kuniaki Saito, Ping Hu, Trevor Darrell, Kate Saenko · 2022 · Lecture notes in computer science
63. Understanding and Constructing Latent Modality Structures in Multi-Modal Representation Learning
    Qian Jiang, Changyou Chen, Han Zhao, Li‐Qun Chen, Qing Ping, Son Dinh Tran, Yi Xu, Belinda Zeng, Trishul M. Chilimbi · 2023 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
64. Texture Classification Using Dense Micro-Block Difference
    Rakesh Mehta, K. Egiazarian · 2016 · IEEE Transactions on Image Processing
65. Statistically-Motivated Second-Order Pooling
    Kaicheng Yu, Mathieu Salzmann · 2018 · Lecture notes in computer science
66. A Discrepancy Aware Framework for Robust Anomaly Detection
    Yuxuan Cai, Dingkang Liang, Dongliang Luo, Xinwei He, Xin Yan Yang, Xiang Bai · 2023 · IEEE Transactions on Industrial Informatics
67. A survey of efficient fine-tuning methods for Vision-Language Models — Prompt and Adapter
    Jialu Xing, Jianping Liu, Jian Wang, Lulu Sun, Xi Chen, Xunxun Gu, Yingfei Wang · 2024 · Computers & Graphics
68. A comprehensive study on fidelity metrics for XAI
    Miquel Miró-Nicolau, Antoni Jaume-i-Capó, Gabriel Moyà-Alcover · 2024 · Information Processing & Management
69. Deep Texture Recognition via Exploiting Cross-Layer Statistical Self-Similarity
    Zhile Chen, Feng Li, Yuhui Quan, Yong Xu, Hui Ji · 2021 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
70. Deep Structure-Revealed Network for Texture Recognition
    Wei Zhai, Yang Hua Cao, Zheng-Jun Zha, Haiyong Xie, Feng Chung Wu · 2020 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
71. Can multi-label classification networks know what they don't know?
    Haoran Wang, Weitang Liu, Alex E. Bocchieri, Yixuan Li · 2021 · arXiv (Cornell University)
72. Which Pixel to Annotate: A Label-Efficient Nuclei Segmentation Framework
    Wei Lou, Haofeng Li, Guanbin Li, Xiaoguang Han, Xiang Wan · 2022 · IEEE Transactions on Medical Imaging
73. ArGue: Attribute-Guided Prompt Tuning for Vision-Language Models
    Xinyu Tian, Shu Zou, Zhaoyuan Yang, Jing Zhang · 2024 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
74. A Review of Texture Classification Methods and Databases
    Paulo Cavalin, Luiz S. Oliveira · 2017 · SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI)
75. Efficient image dataset classification difficulty estimation for predicting deep-learning accuracy
    Florian Scheidegger, Roxana Istrate, Giovanni Mariani, Luca Benini C, Costas Bekas, Cristiano Malossi · 2020 · The Visual Computer
76. A Robust Distance Measure for Similarity-Based Classification on the SPD Manifold
    Zhi Feng Gao, Yuwei Wu, Mehrtash Tafazzoli Harandi, Yunde Jia · 2019 · IEEE Transactions on Neural Networks and Learning Systems
77. Meta-Learning for Few-Shot Plant Disease Detection
    Liangzhe Chen, Xiaohui Cui, Wei Li · 2021 · Foods
78. Style-Aware Normalized Loss for Improving Arbitrary Style Transfer
    Jiaxin Cheng, Ayush Jaiswal, Yue Wu, Pradeep Natarajan, Prem Natarajan · 2021 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
79. Two-Way Multi-Label Loss
    Takumi Kobayashi · 2023 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
80. BlackVIP: Black-Box Visual Prompting for Robust Transfer Learning
    Changdae Oh, Hyeji Hwang, Heeyoung Lee, YongTaek Lim, Geunyoung Jung, Jiyoung Jung, Hosik Choi, Kyungwoo Song · 2023 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
81. Nearest Neighbor Guidance for Out-of-Distribution Detection
    Jaewoo Park, Yoon Gyo Jung, Andrew Beng Jin Teoh · 2023 · IEEE/CVF International Conference on Computer Vision (ICCV)
82. SLSG: Industrial image anomaly detection with improved feature embeddings and one-class classification
    Minghui Yang, Jing Liu, Zhiwei Yang, Zhaoyang Wu · 2024 · Pattern Recognition
83. Progressive Visual Prompt Learning with Contrastive Feature Re-formation
    Xu Chen, Yuhan Zhu, Haocheng Shen, Boheng Chen, Yixuan Liao, Xiaoxin Chen, Limin Wang · 2024 · International Journal of Computer Vision
84. More about VLAD: A leap from Euclidean to Riemannian manifolds
    Masoud Faraki, Mehrtash Tafazzoli Harandi, Fatih Porikli · 2015 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
85. DFT-based Transformation Invariant Pooling Layer for Visual Classification
    Jongbin Ryu, Ming–Hsuan Yang, Jongwoo Lim · 2018 · Lecture notes in computer science
86. Training Deep Face Recognition Systems with Synthetic Data
    Adam Kortylewski, Schneider, Andreas, Gerig, Thomas, Bernhard Egger, Andreas Morel-Forster, Thomas R. Vetter · 2018 · arXiv (Cornell University)
87. A Benchmark for Anomaly Segmentation.
    Dan Hendrycks, Steven Basart, Mantas Mazeika, Mohammadreza Mostajabi, Jacob Steinhardt, Dawn Xiaodong Song · 2019 · arXiv (Cornell University)
88. Shape or Texture: Understanding Discriminative Features in CNNs
    Islam, Md Amirul, Matthew D. Kowal, Esser, Patrick, Sen Jia, Björn Ommer, Konstantinos G. Derpanis, Neil D. B. Bruce · 2021 · arXiv (Cornell University)
89. ISD: Self-Supervised Learning by Iterative Similarity Distillation
    Ajinkya Tejankar, Soroush Abbasi Koohpayegani, Vipin Pillai, Paolo Favaro, Hamed Pirsiavash · 2021 · IEEE/CVF International Conference on Computer Vision (ICCV)
90. Distribution-Aware Prompt Tuning for Vision-Language Models
    Eulrang Cho, Jooyeon Kim, Hyunwoo J. Kim · 2023 · IEEE/CVF International Conference on Computer Vision (ICCV)
91. SoftCLIP: Softer Cross-Modal Alignment Makes CLIP Stronger
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92. A fully end-to-end deep learning approach for real-time simultaneous 3D reconstruction and material recognition
    Cheng Zhao, Li Sun, Rustam Stolkin · 2017 · International Conference on Advanced Robotics (ICAR)
93. Robust Adaptive Median Binary Pattern for Noisy Texture Classification and Retrieval
    Mohammad Alkhatib, Adel Hafiane · 2019 · IEEE Transactions on Image Processing
94. Adding New Tasks to a Single Network with Weight Transformations Using Binary Masks
    Massimiliano Mancini, Elisa Ricci, Barbara Caputo B, Samuel Rota Bulò · 2019 · Lecture notes in computer science
95. Embedding Image Through Generated Intermediate Medium Using Deep Convolutional Generative Adversarial Network
    Chuanlong Li · 2018
96. Deep convolutional filter banks for texture recognition and segmentation
    Mircea Cimpoi, Subhransu Maji, Andrea Vedaldi · 2014 · arXiv (Cornell University)
97. ALIP: Adaptive Language-Image Pre-training with Synthetic Caption
    Kaicheng Yang, Jiankang Deng, Xiang An, Jiawei Li, Ziyong Feng, Jia Guo, Jing Yang, Tongliang Liu · 2023 · IEEE/CVF International Conference on Computer Vision (ICCV)
98. Hair detection, segmentation, and hairstyle classification in the wild
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99. Genetic programming-based fusion of HOG and LBP features for fully automated texture classification
    Mohamed Hazgui, Haythem Ghazouani, Walid Barhoumi · 2021 · The Visual Computer
100. Knowledge-Aware Prompt Tuning for Generalizable Vision-Language Models
     Baoshuo Kan, Teng Wang, Wenpeng Lü, Xiantong Zhen, Weili Guan, Feng Zheng · 2023 · IEEE/CVF International Conference on Computer Vision (ICCV)