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 LOC,IoU Domain Guided Dropout for Person Re-identification https://github.com/Cysu/dgd_person_reid caffe http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Xiao_Learning_Deep_Feature_CVPR_2016_paper.pdf CUHK Repository containing wrapper to obtain various object proposals easily https://github.com/batra-mlp-lab/object-proposals matlab https://arxiv.org/pdf/1505.05836.pdf Pairwise Matching through Max-Weight Bipartite Belief Propagation https://github.com/zzhang1987/HungarianBP matlab https://zzhang.org/pdfs/ZhangEtal2016Cvpr.pdf UC Segment-CNN: A Framework for Temporal Action Localization in Untrimmed Videos via Multi-stage CNNs https://github.com/zhengshou/scnn caffe https://arxiv.org/pdf/1601.02129.pdf UC, action A Comparative Study for Single Image Blind Deblurring https://github.com/phoenix104104/cvpr16_deblur_study matlab http://vllab1.ucmerced.edu/~wlai24/cvpr16_deblur_study/paper/cvpr16_deblur_study.pdf UC,deblur Large-Scale Location Recognition and the Geometric Burstiness Problem https://github.com/tsattler/geometric_burstiness / http://www.vision.ee.ethz.ch/en/publications/papers/proceedings/eth_biwi_01273.pdf A Caffe-based implementation of very deep convolution network for image super-resolution https://github.com/huangzehao/caffe-vdsr caffe http://cv.snu.ac.kr/research/VDSR/VDSR_CVPR2016.pdf Super-Resolution Dynamically neural network structures for multi-domain question answering https://github.com/jacobandreas/nmn2 caffe https://arxiv.org/pdf/1511.02799v3.pdf UC,Visual question answering DPPnet: Image Question Answering using Convolutional Neural Network with Dynamic Parameter Prediction https://github.com/HyeonwooNoh/DPPnet torch https://arxiv.org/pdf/1511.05756v1.pdf Visual question answering Shallow and Deep Convolutional Networks for Saliency Prediction https://github.com/imatge-upc/saliency-2016-cvpr caffe http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Pan_Shallow_and_Deep_CVPR_2016_paper.pdf Saliency Prediction Main repository for Deep Metric Learning via Lifted Structured Feature Embedding https://github.com/rksltnl/Deep-Metric-Learning-CVPR16 caffe http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Song_Deep_Metric_Learning_CVPR_2016_paper.pdf Stanford,Metric Learning Natural Language Object Retrieva http://ronghanghu.com/text_obj_retrieval https://github.com/ronghanghu/natural-language-object-retrieval caffe https://arxiv.org/pdf/1511.04164.pdf UC,NUS Faster R-CNN features for Instance Search https://github.com/imatge-upc/retrieval-2016-deepvision caffe https://arxiv.org/pdf/1604.08893v1.pdf faster R-CNN Object Skeleton Extraction in Natural Images by Fusing Scale-associated Deep Side Outputs https://github.com/zeakey/DeepSkeleton caffe https://arxiv.org/pdf/1603.09446v2.pdf Accumulated Stability Voting: A Robust Descriptor From Descriptors of Multiple Scales https://github.com/shamangary/ASV matlab https://drive.google.com/file/d/0B_q2Q4O-rzP6bmlxTzFyMGJfaWs/view?usp=drive_web Deep Saliency with Encoded Low Level Distance Map and High Level Features https://github.com/gylee1103/SaliencyELD caffe https://arxiv.org/pdf/1604.05495v1.pdf Saliency detection One-Shot Learning of Scene Locations via Feature Trajectory Transfer https://github.com/rkwitt/TrajectoryTransfer / http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Kwitt_One-Shot_Learning_of_CVPR_2016_paper.pdf Generation and Comprehension of Unambiguous Object Descriptions https://github.com/mjhucla/Google_Refexp_toolbox / https://arxiv.org/abs/1511.02283 google A Benchmark Dataset and Evaluation Methodology for Video Object Segmentation (DAVIS) https://github.com/fperazzi/davis / https://graphics.ethz.ch/~perazzif/davis/files/davis.pdf Video object segmentation Activation function used in "Learning to Assign Orientations to Feature Points“ https://github.com/nyanp/tiny-cnn/pull/61 tiny-dnn https://arxiv.org/pdf/1511.04273v2.pdf DenseCap: Fully Convolutional Localization Networks for Dense Captioning https://github.com/jcjohnson/densecap torch http://cs.stanford.edu/people/karpathy/densecap.pdf Li Fei-Fe,FCLN
