CVPR2019 | 29篇目标检测相关论文汇总（含2D/3D/显著性目标检测等）

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

解读：https://zhuanlan.zhihu.com/p/58077936

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：CVPR2019 | 目标检测新文：Generalized Intersection over Union

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：港中大-商汤联合实验室等提出：Guided Anchoring: 物体检测器也能自己学 Anchor

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 | CMU提出Single-Shot目标检测最强算法：FSAF
一作直播：CVPR2019 专题直播 | CMU 诸宸辰:基于 Anchor-free 特征选择模块的单阶目标检测

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/1903.10831

15、Bounding Box Regression with Uncertainty for Accurate Object Detection（目标检测边界框回归损失算法）
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-Loss

解读：CMU和旷视科技开源：KL-Loss目标检测边界框回归新算法（CVPR2019）

 

16、Precise Detection in Densely Packed Scenes
作者：Eran Goldman , Roei Herzig, Aviv Eisenschtat, Jacob Goldberger, Tal Hassner
论文链接：https://arxiv.org/abs/1904.00853

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

解读：浙大和商汤等提出：Libra RCNN目标检测新算法（特征融合），CVPR2019

 

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：https://arxiv.org/abs/1904.03175
 

21、Towards Universal Object Detection by Domain Attention
作者：Xudong Wang, Zhaowei Cai, Dashan Gao, Nuno Vasconcelos
论文链接：https://arxiv.org/abs/1904.04402
项目链接：http://www.svcl.ucsd.edu/projects/universal-detection/

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：https://arxiv.org/abs/1904.07392

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：https://arxiv.org/abs/1904.08241

24、Cascaded Partial Decoder for Fast and Accurate Salient Object Detection
作者：Zhe Wu, Li Su, Qingming Huang
论文链接：https://arxiv.org/abs/1904.08739

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：https://arxiv.org/abs/1904.09569
源码链接：http://mmcheng.net/poolnet/

 

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：https://github.com/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：https://github.com/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：https://arxiv.org/abs/1810.08425v3
源码链接：https://github.com/KimSoybean/ScratchDet