CVPR 2019 目标检测论文汇总

CVPR 2019 目标检测论文汇总（0506更新中）极市平台已认证的官方帐号84 人赞同了该文章前段时间，计算机视觉顶会CVPR 2019 公布了接收结果，极市也对此做了相关报道，目前官方公布了接收论文title列表，极市已汇总目前公开的大部分paper及code：https://github.com/extreme-assistant/cvpr2019 。
点击此处加入极市开发者调研群获取CVPR2019及时的技术分享。

1、Stereo R-CNN based 3D Object Detection for Autonomous Driving
作者：Peiliang Li, Xiaozhi Chen, Shaojie Shen
论文链接：https://arxiv.org/abs/1902.09738

2、Generalized Intersection over Union: A Metric and A Loss for Bounding Box Regression
作者：Hamid Rezatofighi, Nathan Tsoi, JunYoung Gwak, Amir Sadeghian, Ian Reid, Silvio Savarese
论文链接：https://arxiv.org/abs/1902.09630
论文解读：https://mp.weixin.qq.com/s/6QsyYtEVjavoLfU_lQF1pw

3、ROI-10D: Monocular Lifting of 2D Detection to 6D Pose and Metric Shape 作者：Fabian Manhardt, Wadim Kehl, Adrien Gaidon
论文链接：https://arxiv.org/abs/1812.02781

4、Bi-Directional Cascade Network for Perceptual Edge Detection
作者：Jianzhong He, Shiliang Zhang, Ming Yang, Yanhu Shan, Tiejun Huang
论文链接：https://arxiv.org/abs/1902.10903
Github源码：https://github.com/pkuCactus/BDCN

5、RepMet: Representative-based metric learning for classification and one-shot object detection
作者：Leonid Karlinsky, Joseph Shtok, Sivan Harary, Eli Schwartz, Amit Aides, Rogerio Feris, Raja Giryes, Alex M. Bronstein
论文链接：https://arxiv.org/abs/1806.04728

6、Region Proposal by Guided Anchoring
作者：Jiaqi Wang, Kai Chen, Shuo Yang, Chen Change Loy, Dahua Lin
论文链接：https://arxiv.org/abs/1901.03278
论文解读：https://mp.weixin.qq.com/s/Sl958JkcJjy-HW9_c-SH4g
Github链接：https://github.com/open-mmlab/mmdetection

7、Less is More: Learning Highlight Detection from Video Duration
作者：Bo Xiong, Yannis Kalantidis, Deepti Ghadiyaram, Kristen Grauman
论文链接：https://arxiv.org/abs/1903.00859

8、AIRD: Adversarial Learning Framework for Image Repurposing Detection
作者：Ayush Jaiswal, Yue Wu, Wael AbdAlmageed, Iacopo Masi, Premkumar Natarajan
论文链接：https://arxiv.org/abs/1903.00788

9、Feature Selective Anchor-Free Module for Single-Shot Object Detection
作者：Chenchen Zhu, Yihui He, Marios Savvides
论文链接：https://arxiv.org/abs/1903.00621
论文解读：CVPR2019 | FSAF：来自CMU的Single-Shot目标检测算法一作直播：极市直播 | CMU 诸宸辰:基于 Anchor-free 特征选择模块的单阶检测 (CVPR19)

10、Learning Attraction Field Representation for Robust Line Segment Detection
作者：Nan Xue, Song Bai, Fudong Wang, Gui-Song Xia, Tianfu Wu, Liangpei Zhang
论文链接：https://arxiv.org/abs/1812.02122
代码链接：https://github.com/cherubicXN/afm_cvpr2019
11、Latent Space Autoregression for Novelty Detection
作者：Davide Abati, Angelo Porrello, Simone Calderara, Rita Cucchiara
论文链接：https://arxiv.org/abs/1807.01653
代码链接: https://github.com/aimagelab/novelty-detection

12、Strong-Weak Distribution Alignment for Adaptive Object Detection
作者：Kuniaki Saito, Yoshitaka Ushiku, Tatsuya Harada, Kate Saenko
论文链接：https://arxiv.org/abs/1812.04798

13、Few-shot Adaptive Faster R-CNN
作者：Tao Wang, Xiaopeng Zhang, Li Yuan, Jiashi Feng
论文链接：https://arxiv.org/abs/1903.09372

14、Attention Based Glaucoma Detection: A Large-scale Database and CNN Model
作者：Liu Li, Mai Xu, Xiaofei Wang, Lai Jiang, Hanruo Liu
论文链接：https://arxiv.org/abs/1903.1083115、Bounding Box Regression with Uncertainty for Accurate Object Detection 作者：Yihui He, Chenchen Zhu, Jianren Wang, Marios Savvides, Xiangyu Zhang 论文链接：https://arxiv.org/abs/1809.08545 代码链接：https://github.com/yihui-he/KL-Loss16、GS3D: An Efficient 3D Object Detection Framework for Autonomous Driving 作者：Buyu Li, Wanli Ouyang, Lu Sheng, Xingyu Zeng, Xiaogang Wang 论文链接：https://arxiv.org/abs/1903.10955
16、Precise Detection in Densely Packed Scenes 作者：Eran Goldman , Roei Herzig, Aviv Eisenschtat, Jacob Goldberger, Tal Hassner 论文链接：Precise Detection in Densely Packed Scenes
17、Activity Driven Weakly Supervised Object Detection 作者：Zhenheng Yang, Dhruv Mahajan, Deepti Ghadiyaram, Ram Nevatia, Vignesh Ramanathan论文链接：https://arxiv.org/pdf/1904.01665.pdf
18、Monocular 3D Object Detection Leveraging Accurate Proposals and Shape Reconstruction 作者：Jason Ku, Alex D. Pon, Steven L. Waslander论文链接：https://arxiv.org/pdf/1904.01690.pdf
19.Libra R-CNN: Towards Balanced Learning for Object Detection作者：Jiangmiao Pang, Kai Chen, Jianping Shi, Huajun Feng, Wanli Ouyang, Dahua Lin论文链接：https://arxiv.org/abs/1904.02701
20、Moving Object Detection under Discontinuous Change in Illumination Using Tensor Low-Rank and Invariant Sparse Decomposition 作者：Moein Shakeri, Hong Zhang论文链接：Moving Object Detection under Discontinuous Change in Illumination Using Tensor Low-Rank and Invariant Sparse Decomposition
21、Towards Universal Object Detection by Domain Attention 作者：Xudong Wang, Zhaowei Cai, Dashan Gao, Nuno Vasconcelos论文链接：Towards Universal Object Detection by Domain Attention项目链接：Universal Object Detection Benchmark
22、NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection 作者：Golnaz Ghiasi, Tsung-Yi Lin, Ruoming Pang, Quoc V. Le论文链接：NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection
23、Deep Anomaly Detection for Generalized Face Anti-Spoofing作者：Daniel Pérez-Cabo, David Jiménez-Cabello, Artur Costa-Pazo, Roberto J. López-Sastre论文链接：Deep Anomaly Detection for Generalized Face Anti-Spoofing
24、Cascaded Partial Decoder for Fast and Accurate Salient Object Detection作者：Zhe Wu, Li Su, Qingming Huang论文链接：Cascaded Partial Decoder for Fast and Accurate Salient Object Detection
25、A Simple Pooling-Based Design for Real-Time Salient Object Detection作者：Jiang-Jiang Liu, Qibin Hou, Ming-Ming Cheng, Jiashi Feng, Jianmin Jiang论文链接：A Simple Pooling-Based Design for Real-Time Salient Object Detection源码链接：A Simple Pooling-Based Design for Real-Time Salient Object Detection
26、CapSal: Leveraging Captioning to Boost Semantics for Salient Object Detection作者：Lu Zhang; Huchuan Lu ; Zhe Lin ; Jianming Zhang; You He论文链接：https://drive.google.com/open?id=1JcZMHBXEX-7AR1P010OXg_wCCC5HukeZ （需要申请）源码链接：zhangludl/code-and-dataset-for-CapSal
27、Deep Fitting Degree Scoring Network for Monocular 3D Object Detection 作者：Lijie Liu1, Jiwen Lu, Chunjing Xu, Qi Tian, Jie Zhou 论文链接：https://arxiv.org/pdf/1904.12681.pdf
28、A Mutual Learning Method for Salient Object Detection with intertwined Multi-Supervision作者：Runmin Wu, Mengyang Feng, Wenlong Guan, Dong Wang, Huchuan Lu, Errui Ding论文链接：待定源码链接：JosephineRabbit/MLMSNet
29.ScratchDet:Exploring to Train Single-Shot Object Detectors from Scratch(Oral) 作者：Rui Zhu, Shifeng Zhang, Xiaobo Wang, Longyin Wen, Hailin Shi, Liefeng Bo, Tao Mei 论文链接：ScratchDet:Exploring to Train Single-Shot Object Detectors from Scratch 源码链接：KimSoybean/ScratchDet 解读篇：CVPR 2019 Oral | 京东AI研究院提出 ScratchDet：随机初始化训练SSD目标检测器

延伸阅读CVPR2018 目标检测（object detection）算法总览 ECCV2018目标检测（object detection）算法总览（部分含代码）

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