Fast R-CNN - Google Scholar Metrics

Articles citing Fast R-CNN

Title / Author	Year
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
Faster r-cnn: Towards real-time object detection with region proposal networks S Ren, K He, R Girshick, J Sun Advances in neural information processing systems, 91-99	2015
Delving deep into rectifiers: Surpassing human-level performance on imagenet classification K He, X Zhang, S Ren, J Sun Proceedings of the IEEE international conference on computer vision, 1026-1034	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
Matconvnet: Convolutional neural networks for matlab A Vedaldi, K Lenc Proceedings of the 23rd ACM international conference on Multimedia, 689-692	2015
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
Context encoders: Feature learning by inpainting D Pathak, P Krahenbuhl, J Donahue, T Darrell, AA Efros Proceedings of the IEEE conference on computer vision and pattern …	2016
EIE: efficient inference engine on compressed deep neural network S Han, X Liu, H Mao, J Pu, A Pedram, MA Horowitz, WJ Dally 2016 ACM/IEEE 43rd Annual International Symposium on Computer Architecture …	2016
Region-based convolutional networks for accurate object detection and segmentation R Girshick, J Donahue, T Darrell, J Malik IEEE transactions on pattern analysis and machine intelligence 38 (1), 142-158	2015
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
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

1 - 20

Dates and citation counts are estimated and are determined automatically by a computer program.