Going deeper with convolutions C Szegedy, W Liu, Y Jia, P Sermanet, S Reed, D Anguelov, D Erhan, ... Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 59781 | 2015 |
TensorFlow: Large-scale machine learning on heterogeneous systems M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ... | 24793* | 2015 |
Caffe: Convolutional architecture for fast feature embedding Y Jia, E Shelhamer, J Donahue, S Karayev, J Long, R Girshick, ... Proceedings of the 22nd ACM international conference on Multimedia, 675-678, 2014 | 17958 | 2014 |
Decaf: A deep convolutional activation feature for generic visual recognition J Donahue, Y Jia, O Vinyals, J Hoffman, N Zhang, E Tzeng, T Darrell International conference on machine learning, 647-655, 2014 | 5993 | 2014 |
Accurate, large minibatch sgd: Training imagenet in 1 hour P Goyal, P Dollár, R Girshick, P Noordhuis, L Wesolowski, A Kyrola, ... arXiv preprint arXiv:1706.02677, 2017 | 3929 | 2017 |
Fbnet: Hardware-aware efficient convnet design via differentiable neural architecture search B Wu, X Dai, P Zhang, Y Wang, F Sun, Y Wu, Y Tian, P Vajda, Y Jia, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 1486 | 2019 |
Matchnet: Unifying feature and metric learning for patch-based matching X Han, T Leung, Y Jia, R Sukthankar, AC Berg Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 1045 | 2015 |
TensorFlow: Large-scale machine learning on heterogeneous systems, software available from tensorflow. org (2015) M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ... URL https://www. tensorflow. org, 2015 | 861 | 2015 |
Proceedings of the IEEE conference on computer vision and pattern recognition C Szegedy, W Liu, Y Jia, P Sermanet, S Reed, D Anguelov, D Erhan, ... Going deeper with convolutions, 1-9, 2015 | 844 | 2015 |
Applied machine learning at facebook: A datacenter infrastructure perspective K Hazelwood, S Bird, D Brooks, S Chintala, U Diril, D Dzhulgakov, ... 2018 IEEE International Symposium on High Performance Computer Architecture …, 2018 | 709 | 2018 |
Caffe: Convolutional architecture for fast feature embedding J Yangqing, S Evan, D Jeff, K Sergey, L Jonathan, G Sergio arXiv preprint arXiv:1408.5093 5, 2014 | 695* | 2014 |
A category-level 3d object dataset: Putting the kinect to work A Janoch, S Karayev, Y Jia, JT Barron, M Fritz, K Saenko, T Darrell Consumer Depth Cameras for Computer Vision: Research Topics and Applications …, 2013 | 565 | 2013 |
Deep convolutional ranking for multilabel image annotation Y Gong, Y Jia, T Leung, A Toshev, S Ioffe arXiv preprint arXiv:1312.4894, 2013 | 554 | 2013 |
Large-scale object classification using label relation graphs J Deng, N Ding, Y Jia, A Frome, K Murphy, S Bengio, Y Li, H Neven, ... Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014 | 545 | 2014 |
Machine learning at facebook: Understanding inference at the edge CJ Wu, D Brooks, K Chen, D Chen, S Choudhury, M Dukhan, ... 2019 IEEE international symposium on high performance computer architecture …, 2019 | 527 | 2019 |
Going deeper with convolutions. arXiv 2014 C Szegedy, W Liu, Y Jia, P Sermanet, S Reed, D Anguelov, D Erhan, ... arXiv preprint arXiv:1409.4842 1409, 2015 | 488 | 2015 |
Trace ratio criterion for feature selection F Nie, S Xiang, Y Jia, C Zhang, S Yan Proceedings of the 23rd national conference on Artificial intelligence 2 …, 2008 | 460 | 2008 |
Beyond spatial pyramids: Receptive field learning for pooled image features Y Jia, C Huang, T Darrell 2012 IEEE Conference on Computer Vision and Pattern Recognition, 3370-3377, 2012 | 383 | 2012 |
TensorFlow: large-scale machine learning on heterogeneous distributed systems. 2015 M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, G Corrado, ... URL http://download. tensorflow. org/paper/whitepaper2015. pdf, 12, 2015 | 345 | 2015 |
Trace ratio problem revisited Y Jia, F Nie, C Zhang IEEE Transactions on Neural Networks 20 (4), 729-735, 2009 | 323 | 2009 |