paper title | code link | code depends | paper link | keywords | snapshot | |
DoReFa-Net: Training Low Bitwidth Convolutional Neural Networks with Low Bitwidth Gradients | https://github.com/ppwwyyxx/tensorpack/tree/master/examples/DoReFa-Net | tensoflow | https://arxiv.org/pdf/1606.06160v2.pdf | 旷视,low bitwidth weights, CPU/FPGA | ||
Stacked attention networks for image question answering | https://github.com/zcyang/imageqa-san | Theano | https://arxiv.org/pdf/1511.02274.pdf | CMU,MSR, | ![]() |
|
Newtonian Image Understanding: Unfolding the Dynamics of Objects in Statis Images | https://github.com/roozbehm/newtonian | Torch | https://arxiv.org/pdf/1511.04048.pdf | AI2 | ![]() |
|
Joint Unsupervised Learning of Deep Representations and Image Clusters | https://github.com/jwyang/joint-unsupervised-learning https://github.com/jwyang/JULE-Caffe |
caffe | https://arxiv.org/pdf/1604.03628v3.pdf | 无监督,聚类 | ![]() |
|
Improving Localization Accuracy for Object Detection | https://github.com/gidariss/LocNet | caffe | https://arxiv.org/pdf/1511.07763v2.pdf |
CVPR2016代码&文章
最新推荐文章于 2025-06-04 21:45:49 发布