You Only Look Once: Unified, Real-Time Object Detection

Articles citing You Only Look Once: Unified, Real-Time Object Detection

Title / Author	Year
Ssd: Single shot multibox detector W Liu, D Anguelov, D Erhan, C Szegedy, S Reed, CY Fu, AC Berg European conference on computer vision, 21-37	2016
YOLO9000: better, faster, stronger J Redmon, A Farhadi Proceedings of the IEEE conference on computer vision and pattern …	2017
Focal loss for dense object detection TY Lin, P Goyal, R Girshick, K He, P Dollár Proceedings of the IEEE international conference on computer vision, 2980-2988	2017
R-fcn: Object detection via region-based fully convolutional networks J Dai, Y Li, K He, J Sun Advances in neural information processing systems, 379-387	2016
Speed/accuracy trade-offs for modern convolutional object detectors J Huang, V Rathod, C Sun, M Zhu, A Korattikara, A Fathi, I Fischer, ... Proceedings of the IEEE conference on computer vision and pattern …	2017
The existence of refinement mappings M Abadi, L Lamport Theoretical Computer Science 82 (2), 253-284	1991
Bottom-up and top-down attention for image captioning and visual question answering P Anderson, X He, C Buehler, D Teney, M Johnson, S Gould, L Zhang Proceedings of the IEEE conference on computer vision and pattern …	2018
Deformable convolutional networks J Dai, H Qi, Y Xiong, Y Li, G Zhang, H Hu, Y Wei Proceedings of the IEEE international conference on computer vision, 764-773	2017
Recent advances in convolutional neural networks J Gu, Z Wang, J Kuen, L Ma, A Shahroudy, B Shuai, T Liu, X Wang, ... Pattern Recognition 77, 354-377	2018
A unified multi-scale deep convolutional neural network for fast object detection Z Cai, Q Fan, RS Feris, N Vasconcelos European conference on computer vision, 354-370	2016
Deep learning for visual understanding: A review Y Guo, Y Liu, A Oerlemans, S Lao, S Wu, MS Lew Neurocomputing 187, 27-48	2016
Dssd: Deconvolutional single shot detector CY Fu, W Liu, A Ranga, A Tyagi, AC Berg arXiv preprint arXiv:1701.06659	2017
Inside-outside net: Detecting objects in context with skip pooling and recurrent neural networks S Bell, C Lawrence Zitnick, K Bala, R Girshick Proceedings of the IEEE conference on computer vision and pattern …	2016
The one hundred layers tiramisu: Fully convolutional densenets for semantic segmentation S Jégou, M Drozdzal, D Vazquez, A Romero, Y Bengio Proceedings of the IEEE conference on computer vision and pattern …	2017
Densecap: Fully convolutional localization networks for dense captioning J Johnson, A Karpathy, L Fei-Fei Proceedings of the IEEE conference on computer vision and pattern …	2016
Channel pruning for accelerating very deep neural networks Y He, X Zhang, J Sun Proceedings of the IEEE International Conference on Computer Vision, 1389-1397	2017
Deep learning in remote sensing: A comprehensive review and list of resources XX Zhu, D Tuia, L Mou, GS Xia, L Zhang, F Xu, F Fraundorfer IEEE Geoscience and Remote Sensing Magazine 5 (4), 8-36	2017
Synthetic data for text localisation in natural images A Gupta, A Vedaldi, A Zisserman Proceedings of the IEEE conference on computer vision and pattern …	2016
Cascade r-cnn: Delving into high quality object detection Z Cai, N Vasconcelos Proceedings of the IEEE conference on computer vision and pattern …	2018
Object detection via a multi-region and semantic segmentation-aware cnn model S Gidaris, N Komodakis Proceedings of the IEEE international conference on computer vision, 1134-1142	2015

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