The Pascal Visual Object Classes Challenge: A Retrospective

Everingham, Mark, Eslami, S. M. Ali, Van Gool, Luc, Williams, Christopher K. I., Winn, John, Zisserman, Andrew·2015·International Journal of Computer Vision

Cited by (1,017)

Items 701–800 of 1,017

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    Yanwei Pang, Tiancai Wang, Rao Muhammad Anwer, Fahad Shahbaz Khan, Ling Shao · 2019 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  2. Rethinking Class Activation Mapping for Weakly Supervised Object Localization
    Wonho Bae, Junhyug Noh, Gunhee Kim · 2020 · Lecture notes in computer science
  3. MultiSports: A Multi-Person Video Dataset of Spatio-Temporally Localized Sports Actions
    Yixuan Li, Lei Chen, Runyu He, Zhenzhi Wang, Gangshan Wu, Limin Wang · 2021 · IEEE/CVF International Conference on Computer Vision (ICCV)
  4. Efficient Inductive Vision Transformer for Oriented Object Detection in Remote Sensing Imagery
    Cong Zhang, Jingran Su, Yakun Ju, Kin‐Man Lam, Qi Wang · 2023 · IEEE Transactions on Geoscience and Remote Sensing
  5. Object Detection in Very High-Resolution Aerial Images Using One-Stage Densely Connected Feature Pyramid Network
    Tayara, Hilal, Chong, Kil To · 2018 · Sensors
  6. Towards Corner Case Detection for Autonomous Driving
    Jan-Aike Bolte, Andreas Bär, Daniel Lipinski, Tim Fingscheidt · 2019 · IEEE Intelligent Vehicles Symposium
  7. Channel Attention Networks
    Alexei Bastidas, Hanlin Tang · 2019 · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
  8. Multi-Label Learning from Single Positive Labels
    Elijah Cole, Oisin Mac Aodha, Titouan Lorieul, Pietro Perona, Dan Morris, Nebojša Jojić · 2021 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  9. Adaptive Frequency Filters As Efficient Global Token Mixers
    Zhipeng Huang, Zhizheng Zhang, Cuiling Lan, Zheng-Jun Zha, Yan Qing Lu, Baining Guo · 2023 · IEEE/CVF International Conference on Computer Vision (ICCV)
  10. Automatic Caption Generation for News Images
    Yansong Feng, Mirella Lapata · 2012 · IEEE Transactions on Pattern Analysis and Machine Intelligence
  11. What Actions are Needed for Understanding Human Actions in Videos?
    Gunnar A. Sigurdsson, Olga Russakovsky, Abhinav Gupta · 2017 · IEEE/CVF International Conference on Computer Vision (ICCV)
  12. RV-GAN: Segmenting Retinal Vascular Structure in Fundus Photographs Using a Novel Multi-scale Generative Adversarial Network
    Sharif Amit Kamran, Khondker Fariha Hossain, Alireza Tavakkoli, Stewart Lee Zuckerbrod, Kenton M. Sanders, Salah A. Baker · 2021 · Lecture notes in computer science
  13. Ship Detection in SAR Images Based on Multi-Scale Feature Extraction and Adaptive Feature Fusion
    Kexue Zhou, Min Zhang, Hai Wang, Jinlin Tan · 2022 · Remote Sensing
  14. Query2Label: A Simple Transformer Way to Multi-Label Classification
    Shilong Liu, Lei Zhang, Xiao Yang, Hang Su, Jun Zhu · 2021 · arXiv (Cornell University)
  15. Reconfiguring the Imaging Pipeline for Computer Vision
    Mark Buckler, Suren Jayasuriya, Adrian Sampson · 2017 · IEEE/CVF International Conference on Computer Vision (ICCV)
  16. Lane marking detection via deep convolutional neural network
    Yan Tao Tian, Judith Gelernter, Xun Wang, Wei‐Gang Chen, Junxiang Gao, Yujie Zhang, Xiaolan Li · 2017 · Neurocomputing
  17. Video Jigsaw: Unsupervised Learning of Spatiotemporal Context for Video Action Recognition
    Unaiza Ahsan, Rishi Madhok, Irfan A. Essa · 2019 · IEEE Winter Conference on Applications of Computer Vision
  18. Object detection and classification: a joint selection and fusion strategy of deep convolutional neural network and SIFT point features
    Muhammad Rashid, Muhammad Attique Khan, Muhammad Imran Sharif, Mudassar Raza, Muhammad Masood Sarfraz, Farhat Afza · 2018 · Multimedia Tools and Applications
  19. A Benchmark for Deep Learning Based Object Detection in Maritime Environments
    Sebastian Moosbauer, Daniel Konig, Jens Jäkel, Michael Teutsch · 2019 · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
  20. Learning Robust Discriminant Subspace Based on Joint L₂,ₚ- and L₂,ₛ-Norm Distance Metrics
    Liyong Fu, Zechao Li, Qiaolin Ye, Hang Yin, Qingwang Liu, Xiaobo Chen, Xijian Fan, Wankou Yang, Guowei Yang · 2020 · IEEE Transactions on Neural Networks and Learning Systems
  21. Thermal Infrared Image Colorization for Nighttime Driving Scenes With Top-Down Guided Attention
    Fuya Luo, Yunhan Li, Guang Zeng, Peng Peng, Gang Wang, Yongjie Li · 2022 · IEEE Transactions on Intelligent Transportation Systems
  22. Dual attention deep learning network for automatic steel surface defect segmentation
    Yue Pan, L. Zhang · 2021 · Computer-Aided Civil and Infrastructure Engineering
  23. Rethinking 3-D LiDAR Point Cloud Segmentation
    Shijie Li, Yun Liu, Jüergen Gall · 2021 · IEEE Transactions on Neural Networks and Learning Systems
  24. Self-Supervised Masking for Unsupervised Anomaly Detection and Localization
    Chaoqin Huang, Qinwei Xu, Yan-Feng Wang, Yu Wang, Ya Zhang · 2022 · IEEE transactions on multimedia
  25. Multi-modal Gated Mixture of Local-to-Global Experts for Dynamic Image Fusion
    Bing Cao, Yiming Sun, Pengfei Zhu, Qinghua Hu · 2023 · IEEE/CVF International Conference on Computer Vision (ICCV)
  26. Deformable Kernel Networks for Joint Image Filtering
    Beom‐Jun Kim, Jean Ponce, Bumsub Ham · 2019 · HAL
  27. Coloring Action Recognition in Still Images
    Fahad Shahbaz Khan, Rao Muhammad Anwer, Joost van de Weijer, Andrew D. Bagdanov, Antonio Manuel López, Michael Felsberg · 2013 · International Journal of Computer Vision
  28. Fast Single Shot Detection and Pose Estimation
    Patrick Poirson, Phil Ammirato, Cheng-Yang Fu, Wei Liu, Jana Košecká, Alexander C. Berg · 2016 · International Conference on 3D Vision (3DV)
  29. Adult content detection in videos with convolutional and recurrent neural networks
    Jônatas Wehrmann, Gabriel S. Simões, Rodrigo Coelho Barros, Victor F. Cavalcante · 2017 · Neurocomputing
  30. Smallholder Crop Area Mapped with a Semantic Segmentation Deep Learning Method
    Zhenrong Du, Jianyu Yang, Cong Ou, Tingting Zhang · 2019 · Remote Sensing
  31. Weakly Supervised 3D Reconstruction with Adversarial Constraint
    JunYoung Gwak, Christopher Choy, Manmohan Krishna Chandraker, Animesh Garg, Silvio Savarese · 2017 · International Conference on 3D Vision (3DV)
  32. Methods for Small, Weak Object Detection in Optical High-Resolution Remote Sensing Images: A survey of advances and challenges
    Wei Han, Jia Chen, Lizhe Wang, Ruyi Feng, Fengpeng Li, Lin Wu, Tian Tian, Jining Yan · 2021 · IEEE Geoscience and Remote Sensing Magazine
  33. A Review of GAN-Based Super-Resolution Reconstruction for Optical Remote Sensing Images
    Xuan Wang, Lijun Sun, Abdellah Chehri, Yongchao Song · 2023 · Remote Sensing
  34. ELA: efficient location attention for deep convolution neural networks
    Wei Xu, Yi Wan, Weina Zhao · 2025 · Journal of Real-Time Image Processing
  35. Laconic deep learning inference acceleration
    Sayeh Sharify, Alberto Delmás Lascorz, Mostafa Mahmoud, Miloš Nikolić, Kevin Siu, Dylan Malone Stuart, Zissis Poulos, Andreas Moshovos · 2019 · Proceedings - International Symposium on Computer Architecture/Proceedings
  36. A review on object pose recovery: From 3D bounding box detectors to full 6D pose estimators
    Caner Şahin, Guillermo Garcia-Hernando, Juil Sock, Tae‐Kyun Kim · 2020 · Image and Vision Computing
  37. Multi-Spectral Image Synthesis for Crop/Weed Segmentation in Precision Farming
    Mulham Fawakherji, Ciro Potena, Alberto Pretto, Domenico D. Bloisi, Daniele Nardi · 2021 · Robotics and Autonomous Systems
  38. Detection and severity analysis of tea leaf blight based on deep learning
    Gensheng Hu, Huaiyu Wang, Yan Zhang, Mingzhu Wan · 2021 · Computers & Electrical Engineering
  39. Diverse Sample Generation: Pushing the Limit of Generative Data-Free Quantization
    Haotong Qin, Yifu Ding, Xiangguo Zhang, Jiakai Wang, Xianglong Liu, Jiwen Lu · 2023 · IEEE Transactions on Pattern Analysis and Machine Intelligence
  40. Automatic in-trap pest detection using deep learning for pheromone-based Dendroctonus valens monitoring
    Yu Sun, Xuanxin Liu, Mingshuai Yuan, Lili Ren, Jianxin Wang, Zhibo Chen · 2018 · Biosystems Engineering
  41. Textured Neural Avatars
    Aliaksandra Shysheya, Egor Zakharov, Kara-Ali Aliev, Renat Bashirov, Egor Burkov, Karim Iskakov, Aleksei Ivakhnenko, Yury A. Malkov, Igor Pasechnik, Dmitry Ulyanov et al. · 2019 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  42. Unsupervised object discovery and co-localization by deep descriptor transformation
    Xiu-Shen Wei, Chen-Lin Zhang, Jianxin Wu, Chunhua Shen, Zhi‐Hua Zhou · 2018 · Pattern Recognition
  43. 3D Semantic Scene Completion: A Survey
    Luis Roldão, Raoul de Charette, Anne Verroust-Blondet · 2022 · International Journal of Computer Vision
  44. Brain Tumor Detection and Classification Using Fine-Tuned CNN with ResNet50 and U-Net Model: A Study on TCGA-LGG and TCIA Dataset for MRI Applications
    Abdullah Ali M Asiri, Ahmad Shaf, Tariq M. Ali, Muhammad Aamir, Muhammad Irfan, Saeed Alqahtani, Khlood Mohammed Mehdar, Hanan Talal Halawani, Ali Alghamdi, Abdullah Fahad A. Alshamrani et al. · 2023 · Life
  45. CNN based semantic segmentation for urban traffic scenes using fisheye camera
    Deng, Liuyuan, Yang, Ming, Qian, Yeqiang, Wang, Chunxiang, Wang, Bing · 2017 · 2017 IEEE Intelligent Vehicles Symposium (IV)
  46. DSANet: Dilated spatial attention for real-time semantic segmentation in urban street scenes
    Mohammed A. M. Elhassan, Chenxi Huang, Chenhui Yang, Tewodros Legesse Munea · 2021 · Expert Systems with Applications
  47. Meta-Learning-Based Incremental Few-Shot Object Detection
    Cheng, Meng, Wang, Hanli, Long, Yu · 2022 · IEEE Transactions on Circuits and Systems for Video Technology
  48. FECANet: Boosting Few-Shot Semantic Segmentation With Feature-Enhanced Context-Aware Network
    Huafeng Liu, Pai Peng, Tao Chen, Qiong Wang, Yazhou Yao, Xian‐Sheng Hua · 2023 · IEEE Transactions on Multimedia
  49. Deep learning based efficient ship detection from drone-captured images for maritime surveillance
    Shuxiao Cheng, Yishuang Zhu, Shaohua Wu · 2023 · Ocean Engineering
  50. Explicit Modeling of Human-Object Interactions in Realistic Videos
    Alessandro Prest, Vittorio Ferrari, Cordelia Schmid · 2012 · IEEE Transactions on Pattern Analysis and Machine Intelligence
  51. Graph-Guided Architecture Search for Real-Time Semantic Segmentation
    Peiwen Lin, Peng Sun, Guangliang Cheng, Sirui Xie, Xi Li, Jianping Shi · 2020 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  52. Semi-Supervised Semantic Image Segmentation With Self-Correcting Networks
    Mostafa S. Ibrahim, Arash Vahdat, Mani Ranjbar, William G. Macready · 2020 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  53. Uncertainty-aware Pseudo Label Refinery for Domain Adaptive Semantic Segmentation
    Yuxi Wang, Junran Peng, Zhaoxiang Zhang · 2021 · IEEE/CVF International Conference on Computer Vision (ICCV)
  54. MVImgNet: A Large-scale Dataset of Multi-view Images
    Xianggang Yu, Mutian Xu, Yidan Zhang, Haolin Liu, Chongjie Ye, Yushuang Wu, Zizheng Yan, Chenming Zhu, Zhangyang Xiong, Tianyou Liang et al. · 2023 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  55. Rearrangement: A Challenge for Embodied AI
    Batra, Dhruv, Chang, Angel X., Chernova, Sonia, Davison, Andrew J., Deng, Jia, Koltun, Vladlen, Levine, Sergey, Malik, Jitendra, Mordatch, Igor, Mottaghi, Roozbeh et al. · 2020 · arXiv
  56. Weakly Supervised Object Detection With Segmentation Collaboration
    Xiaoyan Li, Meina Kan, Shiguang Shan, Xilin Chen · 2019 · IEEE/CVF International Conference on Computer Vision (ICCV)
  57. Global and Local Texture Randomization for Synthetic-to-Real Semantic Segmentation
    Duo Peng, Yinjie Lei, Lingqiao Liu, Pingping Zhang, Jun Liu · 2021 · IEEE Transactions on Image Processing
  58. Deep Architectures for Image Compression: A Critical Review
    Dipti Mishra, Satish Kumar Singh, Rajat Kumar Singh · 2021 · Signal Processing
  59. High-performance Semantic Segmentation Using Very Deep Fully Convolutional Networks
    Zifeng Wu, Chunhua Shen, Anton van den Hengel · 2016 · arXiv (Cornell University)
  60. Watch and learn: Semi-supervised learning of object detectors from videos
    Ishan Misra, Abhinav Shrivastava, Martial Hebert · 2015 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  61. Hessian Regularized Support Vector Machines for Mobile Image Annotation on the Cloud
    Dapeng Tao, Lianwen Jin, Weifeng Liu, Xuelong Li · 2013 · IEEE Transactions on Multimedia
  62. SceneNet: An annotated model generator for indoor scene understanding
    Ankur Handa, Viorica Pătrăucean, Simon Stent, Roberto Cipolla · 2016 · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
  63. Boosted EfficientNet: Detection of Lymph Node Metastases in Breast Cancer Using Convolutional Neural Networks
    Jun Wang, Qianying Liu, Haotian Xie, Zhaogang Yang, Hefeng Zhou · 2021 · Cancers
  64. Tohme
    Kotaro Hara, Jin Sun, Robert J. Moore, David W. Jacobs, Jon E. Froehlich · 2014 · ACM Symposium on User Interface Software and Technology (UIST)
  65. Tree quantization for large-scale similarity search and classification
    Artem Babenko, Victor Lempitsky · 2015 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  66. Expanded Parts Model for Human Attribute and Action Recognition in Still Images
    Gaurav Sharma, Frédéric Jurie, Cordelia Schmid · 2013 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  67. Fusion of images and point clouds for the semantic segmentation of large-scale 3D scenes based on deep learning
    Rui Zhang, Guangyun Li, Minglei Li, Li Wang · 2018 · ISPRS Journal of Photogrammetry and Remote Sensing
  68. An AR-Assisted Deep Learning-Based Approach for Automatic Inspection of Aviation Connectors
    Shufei Li, Pai Zheng, Lianyu Zheng · 2020 · IEEE Transactions on Industrial Informatics
  69. ClusterFit: Improving Generalization of Visual Representations
    Xueting Yan, Ishan Misra, Abhinav Kumar Gupta, Deepti Ghadiyaram, Dhruv Kumar Mahajan · 2020 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  70. The MECCANO Dataset: Understanding Human-Object Interactions from Egocentric Videos in an Industrial-like Domain
    Francesco Ragusa, Antonino Furnari, Salvatore Livatino, Giovanni Maria Farinella · 2021 · IEEE Winter Conference on Applications of Computer Vision
  71. Dynamic Fusion Module Evolves Drivable Area and Road Anomaly Detection: A Benchmark and Algorithms
    Hengli Wang, Rui Fan, Yuxiang Sun, Ming Liu · 2021 · IEEE Transactions on Cybernetics
  72. Class attention network for image recognition
    Gong Cheng, Pujian Lai, Decheng Gao, Junwei Han · 2023 · Science China Information Sciences
  73. Spatiotemporal CNN for Video Object Segmentation
    Kai Xu, Longyin Wen, Guorong Li, Liefeng Bo, Qingming Huang · 2019 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  74. Adversarial Objectness Gradient Attacks in Real-time Object Detection Systems
    Ka-Ho Chow, Ling Liu, Margaret L. Loper, Juhyun Bae, Mehmet Emre Gürsoy, Stacey Truex, Wenqi Wei, Yanzhao Wu · 2020 · IEEE International Conference on Trust, Privacy and Security in Intelligent Systems and Applications (TPS-ISA)
  75. InfraGAN: A GAN architecture to transfer visible images to infrared domain
    Mehmet Akif Özkanoğlu, Sedat Özer · 2022 · Pattern Recognition Letters
  76. Intelligent generative structural design method for shear wall building based on “fused-text-image-to-image” generative adversarial networks
    Wenjie Liao, Yuli Huang, Zhe Zheng, Xinzheng Lu · 2022 · Expert Systems with Applications
  77. Tracking the Trackers: An Analysis of the State of the Art in Multiple Object Tracking
    Laura Leal-Taixé, Anton Milan, Konrad Schindler, Daniel Cremers, Ian D. Reid, Stefan Roth · 2017 · arXiv (Cornell University)
  78. Asymmetric Loss For Multi-Label Classification
    Emanuel Ben-Baruch, Tal Ridnik, Nadav Zamir, Asaf Noy, Itamar Friedman, Matan Protter, Lihi Zelnik‐Manor · 2020 · arXiv (Cornell University)
  79. Are We Hungry for 3D LiDAR Data for Semantic Segmentation? A Survey of Datasets and Methods
    Gao, Biao, Pan, Yancheng, Li, Chengkun, Geng, Sibo, Zhao, Huijing · 2022 · IEEE Transactions on Intelligent Transportation Systems
  80. Unconstrained Salient Object Detection via Proposal Subset Optimization
    Jianming Zhang, Stan Sclaroff, Zhe Lin, Xiaohui Shen, Brian L. Price, Radomír Měch · 2016 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  81. Associating Inter-image Salient Instances for Weakly Supervised Semantic Segmentation
    Ruochen Fan, Qibin Hou, Ming‐Ming Cheng, Gang Yu, Ralph R. Martin, Shi‐Min Hu · 2018 · Lecture notes in computer science
  82. Breast ultrasound lesions recognition: end-to-end deep learning approaches
    Moi Hoon Yap, Manu Goyal, Fatima M. Osman, Robert Martí, Erika Denton, Arne Juette, Reyer Zwiggelaar A · 2018 · Journal of medical imaging
  83. Research of improving semantic image segmentation based on a feature fusion model
    Yuantao Chen, Jiajun Tao, Linwu Liu, Jie Xiong, Runlong Xia, Jingbo Xie, Qian Zhang, Kai Yang · 2020 · Journal of Ambient Intelligence and Humanized Computing
  84. Comprehensive Attention Self-Distillation for Weakly-Supervised Object Detection
    Zeyi Huang, Yang Zou, Bhagavatula, Vijayakumar, Dong Huang · 2020 · arXiv (Cornell University)
  85. Localizing Objects with Self-supervised Transformers and no Labels
    Oriane Siméoni, G. Puy, Huy V. Vo, Simon Roburin, Spyros Gidaris, Andrei Bursuc, P. P'erez, Renaud Marlet, J. Ponce · 2021 · British Machine Vision Conference
  86. Locality-sensitive dictionary learning for sparse representation based classification
    Chia-Po Wei, Yu-Wei Chao, Yi-Ren Yeh, Yu-Chiang Frank Wang · 2012 · Pattern Recognition
  87. Multi-Pig Part Detection and Association with a Fully-Convolutional Network
    Eric T. Psota, Mateusz Mittek, Lance C. Pérez, Ty B Schmidt, Benny E Mote · 2019 · Sensors
  88. Deep learning for brake squeal: Brake noise detection, characterization and prediction
    M. Stender, Merten Tiedemann, David Spieler, Daniel Schoepflin, Norbert Hoffmann, Sebastian M. Oberst · 2020 · Mechanical Systems and Signal Processing
  89. Deep learning in electron microscopy
    Jeffrey M. Ede · 2020 · Machine Learning Science and Technology
  90. Flexible high-resolution object detection on edge devices with tunable latency
    Shiqi Jiang, Zhiqi Lin, Yuanchun Li, Yuanchao Shu, Yunxin Liu · 2021 · ACM Annual International Conference on Mobile Computing and Networking (MobiCom)
  91. Deep learning architectures for semantic segmentation and automatic estimation of severity of foliar symptoms caused by diseases or pests
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  92. Towards Fewer Annotations: Active Learning via Region Impurity and Prediction Uncertainty for Domain Adaptive Semantic Segmentation
    Binhui Xie, Longhui Yuan, Shuang Li, Chi Harold Liu, Xinjing Cheng · 2022 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  93. Threshold Matters in WSSS: Manipulating the Activation for the Robust and Accurate Segmentation Model Against Thresholds
    Minhyun Lee, Dongseob Kim, Hyunjung Shim · 2022 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
  94. Self-Supervised Pretraining Improves Self-Supervised Pretraining
    Colorado Reed, Xiangyu Yue, Ani Nrusimha, Sayna Ebrahimi, Vivek Vijaykumar, Richard Mao, Bo Li, Shanghang Zhang, Devin Guillory, Sean L. Metzger et al. · 2022 · IEEE Winter Conference on Applications of Computer Vision
  95. TeaNet: Deep learning on Near-Infrared Spectroscopy (NIR) data for the assurance of tea quality
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  96. Mitigating Modality Discrepancies for RGB-T Semantic Segmentation
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  97. UniMatch V2: Pushing the Limit of Semi-Supervised Semantic Segmentation
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  98. Deep Neural Networks approaches for detecting and classifying colorectal polyps
    Alba Nogueira-Rodríguez, R. Domínguez, Hugo López-Fernández, Águeda Iglesias, Joaquín Cubiella, Florentino Fdez‐Riverola, Miguel Reboiro‐Jato, Daniel Glez‐Peña · 2020 · Neurocomputing
  99. Proposal Learning for Semi-Supervised Object Detection
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  100. Standardized Max Logits: A Simple yet Effective Approach for Identifying Unexpected Road Obstacles in Urban-Scene Segmentation
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