Describing Textures in the Wild

Cited by (1,001)

Items 501–600 of 1,001

1. Towards Maximizing the Representation Gap between In-Domain & Out-of-Distribution Examples
   Jay Nandy, Wynne Hsu, Mong Li Lee · 2020 · arXiv (Cornell University)
2. A linearized framework and a new benchmark for model selection for fine-tuning
   Deshpande, Aditya, Alessandro Achille, Avinash Ravichandran, Hao Li, Luca Zancato, Charless C. Fowlkes, Rahul Bhotika, Stefano Soatto, Pietro Perona · 2021 · arXiv (Cornell University)
3. Beyond Covariance: SICE and Kernel Based Visual Feature Representation
   Jianjia Zhang, Lei Wang, Luping Zhou, Wanqing Li · 2020 · International Journal of Computer Vision
4. Multi-Scale Boosting Feature Encoding Network for Texture Recognition
   Kaiyou Song, Hua Shu Yang, Zhouping Yin · 2021 · IEEE Transactions on Circuits and Systems for Video Technology
5. Recognizing object surface materials to adapt robotic disinfection in infrastructure facilities
   Da Hu, Shuai Li · 2022 · Computer-Aided Civil and Infrastructure Engineering
6. Two-stage coarse-to-fine image anomaly segmentation and detection model
   Rizwan Ali Shah, Odilbek Urmonov, HyungWon Kim · 2023 · Image and Vision Computing
7. LoGoPrompt: Synthetic Text Images Can Be Good Visual Prompts for Vision-Language Models
   Shi Cheng, Sibei Yang · 2023 · IEEE/CVF International Conference on Computer Vision (ICCV)
8. Cross-Modal Concept Learning and Inference for Vision-Language Models
   Yi Hui Zhang, Ce Zhang, Yushun Tang, Zhihai He · 2024 · Neurocomputing
9. Out-of-Distribution Detection in Long-Tailed Recognition with Calibrated Outlier Class Learning
   Wenjun Miao, Guansong Pang, Xiao Ping Bai, Tianqi Li, Jin Guang Zheng · 2024 · Proceedings of the AAAI Conference on Artificial Intelligence
10. A Deep Learning Paradigm for Detection of Harmful Algal Blooms
    Arun Kumar, Suchendra M. Bhandarkar · 2017 · IEEE Winter Conference on Applications of Computer Vision
11. Effective Data Augmentation with Multi-Domain Learning GANs
    Shin’ya Yamaguchi, Sekitoshi Kanai, Takeharu Eda · 2020 · Proceedings of the AAAI Conference on Artificial Intelligence
12. Adversarial Prompt Tuning for Vision-Language Models
    Jiaming Zhang, Xingjun Ma, Xin Wang, Lingyu Qiu, Jiaqi Wang, Yu–Gang Jiang, Jitao Sang · 2024 · Lecture notes in computer science
13. Enhancing out-of-distribution detection via diversified multi-prototype contrastive learning
    Yulong Jia, Jiaming Li, Ganlong Zhao, Shuangyin Liu, Weijun Sun, Liang Lin, Guanbin Li · 2024 · Pattern Recognition
14. Logits DeConfusion with CLIP for Few-Shot Learning
    Shuo Li, Fang Liu, Zehua Hao, Xinyi Wang, Lingling Li, Xu Liu, Puhua Chen, Wenping Ma · 2025 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
15. Patch2Vec: Globally Consistent Image Patch Representation
    Ohad Fried, Shai Avidan, Daniel Cohen‐Or · 2017 · Computer Graphics Forum
16. Neural FFTs for Universal Texture Image Synthesis
    Morteza Mardani, Guilin Liu, Ayşegül Dündar, Shiqiu Liu, Andrew Tao, Bryan Catanzaro · 2020 · neural information processing systems
17. Hyperdimensional Feature Fusion for Out-of-Distribution Detection
    Samuel Wilson, Tobias Fischer, Niko Sünderhauf, Feras Dayoub · 2023 · IEEE Winter Conference on Applications of Computer Vision
18. Generative Negative Text Replay for Continual Vision-Language Pretraining
    Shipeng Yan, Lanqing Hong, Hang Xu, Jianhua Han, Tinne Tuytelaars, Zhenguo Li, Xuming He · 2022 · Lecture notes in computer science
19. Monitoring Endangered and Rare Wildlife in the Field: A Foundation Deep Learning Model Integrating Human Knowledge for Incremental Recognition with Few Data and Low Cost
    Chao Mou, Aokang Liang, Chunying Hu, Fanyu Meng, Baixun Han, Fu Xu · 2023 · Animals
20. Fine-Grained Visual Prompt Learning of Vision-Language Models for Image Recognition
    Hongbo Sun, Xiangteng He, Jiahuan Zhou, Yuxin Peng · 2023 · ACM International Conference on Multimedia (ACM MM)
21. Classifier-Head Informed Feature Masking and Prototype-Based Logit Smoothing for Out-of-Distribution Detection
    Zhuohao Sun, Yiqiao Qiu, Zhijun Tan, Wei‐Shi Zheng, Ruixuan Wang · 2024 · IEEE Transactions on Circuits and Systems for Video Technology
22. Multi-task prompt tuning with soft context sharing for vision–language models
    Kun Ding, Ying Wang, Pengzhang Liu, Qiang Yu, Haojian Zhang, Shiming Xiang, Chunhong Pan · 2024 · Neurocomputing
23. Proto-CLIP: Vision-Language Prototypical Network for Few-Shot Learning
    Jishnu Jaykumar P, Kamalesh Palanisamy, Yu-Wei Chao, Xinya Du, Xiang Yu · 2024 · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
24. Unifying Color and Texture Transfer for Predictive Appearance Manipulation
    Fumio Okura, Kenneth Vanhoey, Adrien Bousseau, Alexei A. Efros, George Drettakis B · 2015 · Computer Graphics Forum
25. Exploiting Texture Cues for Clothing Parsing in Fashion Images
    Tarasha Khurana, Kushagra Mahajan, Chetan Arora, Atul Rai · 2018 · Proceedings - International Conference on Image Processing
26. A Novel Scaled dirichlet-based statistical framework for count data modeling: Unsupervised learning and exponential approximation
    Nuha Zamzami, Nizar Bouguila · 2019 · Pattern Recognition
27. A Review on Image Inpainting Techniques and Datasets
    David Rojas, Bruno Jose Torres Fernandes, Sergio Murilo Maciel Fernandes · 2020 · SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI)
28. Crowdsourcing and Evaluating Concept-driven Explanations of Machine Learning Models
    Swati Mishra, Jeffrey M. Rzeszotarski · 2021 · Proceedings of the ACM on Human-Computer Interaction
29. GL-MCM: Global and Local Maximum Concept Matching for Zero-Shot Out-of-Distribution Detection
    Atsuyuki Miyai, Qing Yu, Go Irie, Kiyoharu Aizawa · 2025 · International Journal of Computer Vision
30. Conditional Generative ConvNets for Exemplar-Based Texture Synthesis
    Zi-Ming Wang, Menghan Li, Gui-Song Xia · 2021 · IEEE Transactions on Image Processing
31. A Low Rank Promoting Prior for Unsupervised Contrastive Learning
    Yu Wang, Jingyang Lin, Qi Cai, Yingwei Pan, Ting Yao, Hongyang Chao, Tao Mei · 2022 · IEEE Transactions on Pattern Analysis and Machine Intelligence
32. Multi-label Pattern Image Retrieval via Attention Mechanism Driven Graph Convolutional Network
    Ying Li, Hongwei Zhou, Yeyu Yin, Jiaquan Gao · 2021 · ACM International Conference on Multimedia (ACM MM)
33. Meta Attention-Generation Network for Cross-Granularity Few-Shot Learning
    Wenwen Qiang, Jiangmeng Li, Bing Su, Jianlong Fu, Hui Xiong, Ji-Rong Wen · 2023 · International Journal of Computer Vision
34. Augmenting Softmax Information for Selective Classification with Out-of-Distribution Data
    Guoxuan Xia, Christos-Savvas Bouganis · 2023 · Lecture notes in computer science
35. Few-Shot Learning with Visual Distribution Calibration and Cross-Modal Distribution Alignment
    Runqi Wang, Hao Ran Zheng, Xiaoyue Duan, Jianzhuang Liu, Yuning Lu, Tian Wang, Songcen Xu, Baochang Zhang · 2023 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
36. Coreset Sampling from Open-Set for Fine-Grained Self-Supervised Learning
    Sungnyun Kim, Sangmin Bae, Se-Young Yun · 2023 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
37. UVDoc: Neural Grid-based Document Unwarping
    Floor Verhoeven, Tanguy Magne, Olga Sorkine‐Hornung · 2023 · SIGGRAPH Asia Conference Papers
38. Autoencoder-Based Visual Anomaly Localization for Manufacturing Quality Control
    Devang Mehta, Noah Klarmann · 2023 · Machine Learning and Knowledge Extraction
39. Why Is Prompt Tuning for Vision-Language Models Robust to Noisy Labels?
    Cheng-En R. Wu, Yu Tian, Haichao Yu, Heng Wang, Pedro Morgado, Yu Hen Hu, Linjie Yang · 2023 · IEEE/CVF International Conference on Computer Vision (ICCV)
40. Understanding the Feature Norm for Out-of-Distribution Detection
    Jaewoo Park, Jacky Chen Long Chai, Jaeho Yoon, Andrew Beng Jin Teoh · 2023 · IEEE/CVF International Conference on Computer Vision (ICCV)
41. Task-aware Adaptive Learning for Cross-domain Few-shot Learning
    Yurong Guo, Ruoyi Du, Yuan Dong, Timothy M. Hospedales, Yi-Zhe Song, Zhanyu Ma · 2023 · IEEE/CVF International Conference on Computer Vision (ICCV)
42. Multi-Label Self-Supervised Learning with Scene Images
    Ke Zhu, Minghao Fu, Jianxin Wu · 2023 · IEEE/CVF International Conference on Computer Vision (ICCV)
43. SA²VP: Spatially Aligned-and-Adapted Visual Prompt
    Wenjie Pei, Tongqi Xia, Fanglin Chen, Jinsong Li, Jiandong Tian, Guangming Lu · 2024 · Proceedings of the AAAI Conference on Artificial Intelligence
44. CoPL: Contextual Prompt Learning for Vision-Language Understanding
    Koustava Goswami, Srikrishna Karanam, Prateksha Udhayanan, K J Joseph, Balaji Vasan Srinivasan · 2024 · Proceedings of the AAAI Conference on Artificial Intelligence
45. Semantic-Guided Generative Image Augmentation Method with Diffusion Models for Image Classification
    Bohan Li, Xiao Xu, Xinghao Wang, Yutai Hou, Yunlong Feng, Feng Wang, Xuanliang Zhang, Qingfu Zhu, Wanxiang Che · 2024 · Proceedings of the AAAI Conference on Artificial Intelligence
46. Domain Aligned CLIP for Few-shot Classification
    Muhammad Waleed Gondal, Jochen Gast, Inigo Alonso Ruiz, Richard Droste, Tommaso Macri, Suren Kumar, Luitpold Staudigl · 2024 · IEEE Winter Conference on Applications of Computer Vision
47. Evaluating Deep Convolutional Neural Networks for Material Classification
    Grigorios Kalliatakis, George Stamatiadis, Shoaib Ehsan, Aleš Leonardis, Jüergen Gall, Anca Sticlaru, Klaus Dieter McDonald-Maier · 2017 · International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP)
48. Multi-scale generative adversarial inpainting network based on cross-layer attention transfer mechanism
    Mingwen Shao, Wentao Zhang, Wangmeng Zuo, Deyu Meng · 2020 · Knowledge-Based Systems
49. Adjustable Real-time Style Transfer
    Mohammad Babaeizadeh, Golnaz Ghiasi · 2018 · arXiv (Cornell University)
50. Big but Imperceptible Adversarial Perturbations via Semantic Manipulation.
    Anand Bhattad, Min Jin Chong, Kaizhao Liang, Bo Li, David Alexander Forsyth · 2019 · arXiv (Cornell University)
51. Dissecting Out-of-Distribution Detection and Open-Set Recognition: A Critical Analysis of Methods and Benchmarks
    Hongjun Wang, Sagar Vaze, Kai Han · 2024 · International Journal of Computer Vision
52. Few-Shot Anomaly-Driven Generation for Anomaly Classification and Segmentation
    Guan Gui, Bin-Bin Gao, Jun Liu, Chengjie Wang, Yunsheng Wu · 2024 · Lecture notes in computer science
53. Debiased Mapping for Full-Reference Image Quality Assessment
    Baoliang Chen, Hanwei Zhu, Lingyu Zhu, Shanshe Wang, Jingshan Pan, Shiqi Wang · 2025 · IEEE Transactions on Multimedia
54. Detecting Out-of-distribution through the Lens of Neural Collapse
    Litian Liu, Yao Qin · 2025 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
55. Local Detection of Stereo Occlusion Boundaries
    Jialiang Wang, Todd E. Zickler · 2019 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
56. A Novel Color-Texture Descriptor Based on Local Histograms for Image Segmentation
    Yang Liu, Guangda Liu, Changying Liu, Changming Sun · 2019 · IEEE Access
57. Fine-grained image inpainting with scale-enhanced generative adversarial network
    Weirong Liu, Chengrui Cao, Jie Liu, Chenwen Ren, Yu‐Lin Wei, Honglin Guo · 2021 · Pattern Recognition Letters
58. Can Shape Structure Features Improve Model Robustness under Diverse Adversarial Settings?
    Mingjie Sun, Zichao Li, Chaowei Xiao, Haonan Qiu, Bhavya Kailkhura, Mingyan Liu, Bo Li · 2021 · IEEE/CVF International Conference on Computer Vision (ICCV)
59. On the synthesis of visual illusions using deep generative models
    Alexandra Gomez-Villa, Adrián Martín, Javier Vázquez-Corral, Marcelo Bertalmı́o, Jesús Malo · 2022 · Journal of Vision
60. Pyramid-VAE-GAN: Transferring hierarchical latent variables for image inpainting
    Huiyuan Tian, Li Zhang, Shijian Li, Min Yao, Gang Pan · 2023 · Computational Visual Media
61. DyNCA: Real-Time Dynamic Texture Synthesis Using Neural Cellular Automata
    Ehsan Pajouheshgar, Yitao Xu, Tong Zhang, Sabine E. Susstrunk · 2023 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
62. Learning Visual Representations via Language-Guided Sampling
    Mohamed El Banani, Karan A. Desai, Justin Johnson · 2023 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
63. Boosting Few-Shot Learning via Attentive Feature Regularization
    Xingyu Zhu, Shuo Wang, Jinda Lu, Yanbin Hao, Haifeng Liu, Xiangnan He · 2024 · Proceedings of the AAAI Conference on Artificial Intelligence
64. Data-Free Generalized Zero-Shot Learning
    Bowen Tang, Jing Zhang, Long Yan, Qian Yu, Lu Sheng, Dong Xu · 2024 · Proceedings of the AAAI Conference on Artificial Intelligence
65. Spectral Filter Predictor for Progressive Latent Fingerprint Restoration
    Supakit Kriangkhajorn, Kittipol Horapong, Vutipong Areekul · 2024 · IEEE Access
66. Produce Once, Utilize Twice for Anomaly Detection
    Shuyuan Wang, Qi Li, Huiyuan Luo, Chengkan Lv, Zhengtao Zhang · 2024 · IEEE Transactions on Circuits and Systems for Video Technology
67. Surface defect detection of stay cable sheath based on autoencoder and auxiliary anomaly location
    Qi Liu, Deqiang He, Yixin Shen, Zhenpeng Lao, Rui Ma, Jianhui Li · 2024 · Advanced Engineering Informatics
68. DeIL: Direct-and-Inverse CLIP for Open-World Few-Shot Learning
    Shuai Shao, Yu Bai, Yan Wang, Baodi Liu, Yicong Zhou · 2024 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
69. MAGMAX: Leveraging Model Merging for Seamless Continual Learning
    Daniel Marczak, Bartłomiej Twardowski, T. P. Trzcinski, Sebastian Cygert · 2024 · Lecture notes in computer science
70. Topological Attribute Patterns for texture recognition
    Thanh Phương Nguyễn, Antoine Manzanera B, Walter G. Kropatsch, Xuan Son Nguyen · 2016 · Pattern Recognition Letters
71. An Out-of-the-box Full-Network Embedding for Convolutional Neural Networks
    Dario García-Gasulla, Armand Vilalta, Ferran Parés, Eduard Ayguadé, Jesús Labarta, Ulises Cortés, Toyotaro Suzumura · 2018 · IEEE International Conference on Big Knowledge (ICBK)
72. Multivariate bounded support Laplace mixture model
    Muhammad Azam, Nizar Bouguila · 2020 · Soft Computing
73. SHREC 2020: Retrieval of digital surfaces with similar geometric reliefs
    Elia Moscoso Thompson, Silvia Biasotti, Andrea Giachetti, Claudio Tortorici, Naoufel Werghi, Ahmad Obeid, Stefano Berretti, Hoang-Phuc Nguyen-Dinh, Minh-Quan Le, Hai-Dang Nguyen et al. · 2020 · Computers & Graphics
74. Multi-task learning with deformable convolution
    Jie Li, Lei Huang, Zhiqiang Wei, Wenfeng Zhang, Qibing Qin · 2021 · Journal of Visual Communication and Image Representation
75. Detail-enhanced image inpainting based on discrete wavelet transforms
    Bin Li, Zheng Bowei, Haodong Li, Yanran Li · 2021 · Signal Processing
76. TSUNAMI: Triple Sparsity-Aware Ultra Energy-Efficient Neural Network Training Accelerator With Multi-Modal Iterative Pruning
    Sangyeob Kim, Juhyoung Lee, Sanghoon Kang, Donghyeon Han, Wooyoung Jo, Hoi‐Jun Yoo · 2022 · IEEE Transactions on Circuits and Systems I Regular Papers
77. Road Segmentation in Street View Images Using Texture Information
    David Abou Chacra, John Zelek · 2016 · Canadian Conference on Computer and Robot Vision
78. Augmenting the Softmax with Additional Confidence Scores for Improved Selective Classification with Out-of-Distribution Data
    Guoxuan Xia, Christos-Savvas Bouganis · 2024 · International Journal of Computer Vision
79. CORES: Convolutional Response-based Score for Out-of-distribution Detection
    Keke Tang, Chao Hou, Weilong Peng, Runnan Chen, Peican Zhu, Wenping Wang, Zhihong Tian · 2024 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
80. BackMix: Regularizing Open Set Recognition by Removing Underlying Fore-Background Priors
    Yu Wang, Junxian Mu, Hongzhi Huang, Qilong Wang, Pengfei Zhu, Qinghua Hu · 2025 · IEEE Transactions on Pattern Analysis and Machine Intelligence
81. A convolutional neural network with sparse representation
    Yongqing Yang, Junjie Yang, Zhengzhi Lu, Deyang Liu · 2020 · Knowledge-Based Systems
82. Learning to Remove Refractive Distortions from Underwater Images
    Simron Thapa, Nianyi Li, Jinwei Ye · 2021 · IEEE/CVF International Conference on Computer Vision (ICCV)
83. Learning to Optimize on Riemannian Manifolds
    Zhi Feng Gao, Yuwei Wu, Xiaomeng Fan, Mehrtash Tafazzoli Harandi, Yunde Jia · 2022 · IEEE Transactions on Pattern Analysis and Machine Intelligence
84. Medical image classification using a combination of features from convolutional neural networks
    Marina M. M. Rocha, Gabriel Landini, João B. Florindo · 2022 · Multimedia Tools and Applications
85. Texture-based Error Analysis for Image Super-Resolution
    Salma Abdel Magid, Zudi Lin, Donglai Wei, Yulun Zhang, Jinjin Gu, Hanspeter Pfister · 2022 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
86. Self-knowledge distillation via dropout
    Hyoje Lee, Yeachan Park, Hyun Seo, Myungjoo Kang · 2023 · Computer Vision and Image Understanding
87. Perceptual Quality Analysis in Deep Domains Using Structure Separation and High-Order Moments
    Weizhi Xian, Mingliang Zhou, Bin Fang, Tao Xiang, Weijia Jia, Bin Chen · 2023 · IEEE Transactions on Multimedia
88. Deeply Coupled Cross-Modal Prompt Learning
    Xuejing Liu, Wei Tang, Jinghui Lu, Rui Zhao, Zhaojun Guo, Fei Zhi Tan · 2023 · Findings of the Association for Computational Linguistics: ACL (Findings of ACL)
89. SCT: A Simple Baseline for Parameter-Efficient Fine-Tuning via Salient Channels
    Hengyuan Zhao, Pichao Wang, Yuyang Zhao, Hao Luo, Fan Wang, Mike Zheng Shou · 2023 · International Journal of Computer Vision
90. F-SCP: An automatic prompt generation method for specific classes based on visual language pre-training models
    Baihong Han, Xiaoyan Jiang, Zhijun Fang, Hamido Fujita, Yongbin Gao · 2023 · Pattern Recognition
91. Exploring Large Language Models for Multi-Modal Out-of-Distribution Detection
    Yi Qi Dai, Hao Lang, Kaisheng Zeng, Fei Huang, Yongbin Li · 2023 · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)
92. Dual-path Frequency Discriminators for few-shot anomaly detection
    Yuhu Bai, Jiangning Zhang, Zhaofeng Chen, Yuhang Dong, Yunkang Cao, Guanzhong Tian · 2024 · Knowledge-Based Systems
93. TexTile: A Differentiable Metric for Texture Tileability
    Carlos Rodríguez-Pardo, Dan Casas, Elena Garcés, Jorge López‐Moreno · 2024 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
94. A novel FuseDecode Autoencoder for industrial visual inspection: Incremental anomaly detection improvement with gradual transition from unsupervised to mixed-supervision learning with reduced human effort
    Nejc Kozamernik, Drago Bračun · 2024 · Computers in Industry
95. Mind the Interference: Retaining Pre-trained Knowledge in Parameter Efficient Continual Learning of Vision-Language Models
    Longxiang Tang, Zhuotao Tian, Kai Li, Chunming He, Hantao Zhou, Hengshuang Zhao, Xiu Li, Jiaya Jia · 2024 · Lecture notes in computer science
96. Out-of-Distribution Data: An Acquaintance of Adversarial Examples - A Survey
    Naveen Karunanayake, Ravin Gunawardena, Suranga Seneviratne, Sanjay Chawla · 2025 · ACM Computing Surveys
97. RGB-D Hand-Held Object Recognition Based on Heterogeneous Feature Fusion
    Xiong Lv, Shuqiang Jiang, Luis Herranz, Shuang Wang · 2015 · Journal of Computer Science and Technology
98. A locally based feature descriptor for abnormalities detection
    Said Charfi, Mohamed El Ansari · 2019 · Soft Computing
99. Comparing the Interpretability of Deep Networks via Network Dissection
    Bolei Zhou, David Bau, Aude Oliva, Antonio B. Torralba · 2019 · Lecture notes in computer science
100. Deep Grouping Model for Unified Perceptual Parsing
     Zhiheng Li, Wenxuan Bao, Jiayang Zheng, Chenliang Xu · 2020 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings