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深度学习中比较经典的paper_cornell univ gao huang
作者：盐析白兔 | 2024-02-29 00:14:12
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cornell univ gao huang
经典论文统计
Image Classification
| 论文名称 | 发表期刊/会议 | 年份 | 一作 | 研究机构 |
|---|---|---|---|---|
| Very Deep Convolutional Networks for Large-Scale Image Recognition | ICLR | 2015 | Karen Simonyan | Oxford |
| Going Deeper with Convolutions | CVPR | 2015 | Christian Szegedy | Google Inc. |
| Rethinking the Inception Architecture for Computer Vision | CVPR | 2016 | Christian Szegedy | Google Inc. |
| Deep Residual Learning for Image Recognition | CVPR | 2016 | Kaiming He | Microsoft Research |
| Resnet in Resnet: Generalizing Residual Architectures | ICLR Workshop | 2016 | Sasha Targ, Diogo Almeida | UC San Francisco |
| Deep Networks with Stochastic Depth | ECCV | 2016 | Gao Huang, Yu Sun | Cornell University, Tsinghua University |
| Densely Connected Convolutional Networks | CVPR | 2017 | Gao Huang, Zhuang Liu | Cornell University, Tsinghua University, Facebook AI Research |
Object Detection
| 论文名称 | 发表期刊/会议 | 年份 | 一作 | 研究机构 |
|---|---|---|---|---|
| Rich feature hierarchies for accurate object detection and semantic segmentation | CVPR | 2014 | Ross Girshick | UC Berkeley |
| Fast R-CNN | ICCV | 2015 | Ross Girshick | Microsoft Research |
| Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks | NIPS | 2015 | Shaoqing Ren | University of Science and Technology of China,Microsoft Research |
| You Only Look Once: Unified, Real-Time Object Detection | CVPR | 2016 | Joseph Redmon | University of Washington |
| SSD: Single Shot MultiBox Detector | ECCV | 2016 | Wei Liu | UNC Chapel Hill |
| YOLO9000: Better, Faster, Stronger | CVPR | 2017 | Joseph Redmon | University of Washington |
| Feature Pyramid Networks for Object Detection | CVPR | 2017 | Tsung-Yi Lin | Facebook AI Research (FAIR), Cornell University and Cornell Tech |
| Focal Loss for Dense Object Detection | ICCV | 2017 | Tsung-Yi Lin | Facebook AI Research |
Image Segmentation
| 论文名称 | 发表期刊/会议 | 年份 | 一作 | 研究机构 |
|---|---|---|---|---|
| Fully Convolutional Networks for Semantic Segmentation | PAMI | 2016 | Evan Shelhamer, Jonathan Long | UC Berkeley |
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