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 401–500 of 1,017

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    Shanxin Yuan, Guillermo Garcia-Hernando, Björn Stenger, Gyeongsik Moon, Ju Yong Chang, Kyoung Mu Lee, Pavlo A. Molchanov, Jan Kautz, Sina Honari, Liuhao Ge et al. · 2018 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
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  9. Wider or Deeper: Revisiting the ResNet Model for Visual Recognition
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  10. Joint Training of Cascaded CNN for Face Detection
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    Gao Zhu, Fatih Porikli, Hongdong Li · 2016 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
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    Sebastian Lapuschkin, Alexander Binder, Grégoire Montavon, Klaus‐Robert Müller, Wojciech Samek · 2016 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
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    Hosang, Jan, Benenson, Rodrigo, Schiele, Bernt · 2014 · Proceedings of the British Machine Vision Conference 2014
  16. Multiview Hessian discriminative sparse coding for image annotation
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  18. Zero-Shot Semantic Segmentation
    Maxime Bucher, Tuan-Hung Vu, Matthieu Cord, Patrick Pérez · 2019 · arXiv (Cornell University)
  19. Towards Universal Object Detection by Domain Attention
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  20. Seeing through the Human Reporting Bias: Visual Classifiers from Noisy Human-Centric Labels
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    Qi Dong, Shaogang Gong, Xiatian Zhu · 2017 · IEEE/CVF International Conference on Computer Vision (ICCV)
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    Joakim Johnander, Martin Danelljan, Emil Brissman, Fahad Shahbaz Khan, Michael Felsberg · 2019 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
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  45. Application of a fully deep convolutional neural network to the automation of tooth segmentation on panoramic radiographs
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  65. TVQA+: Spatio-Temporal Grounding for Video Question Answering
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  67. Multimodal Contrastive Training for Visual Representation Learning
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  76. Composited FishNet: Fish Detection and Species Recognition From Low-Quality Underwater Videos
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