Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

Artículos que citan Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

Título / Autor	Año
Deep residual learning for image recognition K He, X Zhang, S Ren, J Sun Proceedings of the IEEE conference on computer vision and pattern …	2016
Fully convolutional networks for semantic segmentation J Long, E Shelhamer, T Darrell Proceedings of the IEEE conference on computer vision and pattern …	2015
You only look once: Unified, real-time object detection J Redmon, S Divvala, R Girshick, A Farhadi Proceedings of the IEEE conference on computer vision and pattern …	2016
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
Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs LC Chen, G Papandreou, I Kokkinos, K Murphy, AL Yuille IEEE transactions on pattern analysis and machine intelligence 40 (4), 834-848	2017
Mask r-cnn K He, G Gkioxari, P Dollár, R Girshick Proceedings of the IEEE international conference on computer vision, 2961-2969	2017
YOLO9000: better, faster, stronger J Redmon, A Farhadi Proceedings of the IEEE conference on computer vision and pattern …	2017
Mobilenets: Efficient convolutional neural networks for mobile vision applications AG Howard, M Zhu, B Chen, D Kalenichenko, W Wang, T Weyand, ... arXiv preprint arXiv:1704.04861	2017
The cityscapes dataset for semantic urban scene understanding M Cordts, M Omran, S Ramos, T Rehfeld, M Enzweiler, R Benenson, ... Proceedings of the IEEE conference on computer vision and pattern …	2016
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
Feature pyramid networks for object detection TY Lin, P Dollár, R Girshick, K He, B Hariharan, S Belongie Proceedings of the IEEE conference on computer vision and pattern …	2017
Xnor-net: Imagenet classification using binary convolutional neural networks M Rastegari, V Ordonez, J Redmon, A Farhadi European Conference on Computer Vision, 525-542	2016
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
Aggregated residual transformations for deep neural networks S Xie, R Girshick, P Dollár, Z Tu, K He Proceedings of the IEEE conference on computer vision and pattern …	2017
Squeeze-and-excitation networks J Hu, L Shen, G Sun Proceedings of the IEEE conference on computer vision and pattern …	2018
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
Yolov3: An incremental improvement J Redmon, A Farhadi arXiv preprint arXiv:1804.02767	2018
Visual genome: Connecting language and vision using crowdsourced dense image annotations R Krishna, Y Zhu, O Groth, J Johnson, K Hata, J Kravitz, S Chen, ... International Journal of Computer Vision 123 (1), 32-73	2017
Least squares generative adversarial networks X Mao, Q Li, H Xie, RYK Lau, Z Wang, S Paul Smolley Proceedings of the IEEE International Conference on Computer Vision, 2794-2802	2017
Quo vadis, action recognition? a new model and the kinetics dataset J Carreira, A Zisserman proceedings of the IEEE Conference on Computer Vision and Pattern …	2017

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