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Данные linkpad ( 11 Августа 2017 ) | |
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Внешние ссылки главной страницы ( 47 ) | |
google.com/recaptcha/mailhide/d?k=01yLexiKcHH2_9orw4MUXYmA==... | r... |
arxiv.org/find/cs/1/au:+Girshick_R/0/1/0/all/0/1 | arXiv |
scholar.google.com/citations?hl=en&user=W8VIEZgAAAAJ&pagesiz... | All publications and tech reports (Google scholar) |
dl.dropboxusercontent.com/s/hswkdta7pmxhqvv/cv.pdf?dl=0 | cv |
arxiv.org/pdf/1811.08883 | Rethinking ImageNet Pre-training |
arxiv.org/pdf/1812.05038 | Long-Term Feature Banks for Detailed Video Understanding |
arxiv.org/pdf/1901.02446 | Panoptic Feature Pyramid Networks |
arxiv.org/abs/1801.00868 | Panoptic Segmentation |
arxiv.org/abs/1706.02677 | Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour |
arxiv.org/pdf/1805.00932 | Exploring the Limits of Weakly Supervised Pretraining |
arxiv.org/abs/1711.10370 | Learning to Segment Every Thing |
github.com/ronghanghu/seg_every_thing | code |
ronghanghu.com/seg_every_thing/ | project website |
arxiv.org/abs/1712.01238 | Learning by Asking Questions |
arxiv.org/abs/1801.05401 | Low-Shot Learning from Imaginary Data |
arxiv.org/abs/1711.07971 | Non-Local Neural Networks |
arxiv.org/abs/1712.04440 | Data Distillation: Towards Omni-Supervised Learning |
arxiv.org/pdf/1704.07333.pdf | Detecting and Recognizing Human-Object Interactions |
github.com/facebookresearch/Detectron | code |
arxiv.org/pdf/1703.06870 | Mask R-CNN |
arxiv.org/abs/1708.02002 | Focal Loss for Dense Object Detection |
arxiv.org/abs/1705.03633 | Inferring and Executing Programs for Visual Reasoning |
github.com/facebookresearch/clevr-iep | pytorch code |
arxiv.org/pdf/1606.02819 | Low-shot Visual Recognition by Shrinking and Hallucinating Features |
arxiv.org/pdf/1612.06890 | CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning |
cs.stanford.edu/people/jcjohns/clevr/ | dataset @inproceedings{johnson2016clevr, Author = {Justin Johnson and Bharath Hariharan and Laurens van ... |
arxiv.org/pdf/1612.06370 | Learning Features by Watching Objects Move |
arxiv.org/pdf/1612.03144 | Feature Pyramid Networks for Object Detection |
arxiv.org/pdf/1611.05431 | Aggregated Residual Transformations for Deep Neural Networks |
github.com/facebookresearch/ResNeXt | github (code) |
arxiv.org/pdf/1506.01497.pdf | Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks |
github.com/rbgirshick/py-faster-rcnn | Python code |
github.com/ShaoqingRen/faster_rcnn | Matlab code |
arxiv.org/pdf/1504.08083.pdf | Fast R-CNN |
github.com/rbgirshick/fast-rcnn | code |
dl.dropboxusercontent.com/s/vlyrkgd8nz8gy5l/fast-rcnn.pdf?dl... | slides |
dl.dropboxusercontent.com/s/293tu0hh9ww08co/r-cnn-cvpr.pdf?d... | Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation |
arxiv.org/abs/1311.2524 | arXiv tech report |
dl.dropboxusercontent.com/s/1yisyl5cuxo7g9y/r-cnn-cvpr-supp.... | supplement |
github.com/rbgirshick/rcnn | code |
dl.dropboxusercontent.com/s/tzefwijlstpapl1/rcnn-poster.pdf?... | poster |
dl.dropboxusercontent.com/s/bpi3vd7gia9f6ul/rcnn-cvpr14-slid... | slides |
dl.dropboxusercontent.com/s/xu7gqrj1hbyuk8l/pose-from-depth-... | Efficient Human Pose Estimation from Single Depth Images |
dl.dropboxusercontent.com/s/u1rvydtkt9nioyq/Object-Detection... | Object Detection with Discriminatively Trained Part Based Models |
cs.brown.edu/~pff/latent-release3/ | PAMI code |
dl.acm.org/citation.cfm?id=2494532 | Visual Object Detection with Deformable Part Models |
jonbarron.info | I like this website |
Внутренние ссылки главной страницы ( 1 ) | |
latent/ | latest code (voc-release5) |
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