CVPR2019 | 29篇目标检测相关论文汇总(部分含源码)

本文转载自 极市平台 二次转载请联系原作者! 小极,公众号:极市平台CVPR2019 | 29篇目标检测相关论文汇总(部分含源码)


极市正在推出CVPR2019的专题直播分享会邀请CVPR2019的论文作者进行线上直播,分享优秀的科研工作和技术干货,也欢迎各位小伙伴自荐或推荐优秀的CVPR论文作者到极市进行技术分享~ 本周四(5月9日)晚,中科院自动化所模式识别国家重点实验室的张志鹏,将为我们分享 基于siamese网络的单目标跟踪(CVPR2019 Oral),公众号回复“41”即可获取直播详情。

计算机视觉顶级会议CVPR2019 accepted list已经公布,极市已将目前收集到的公开论文总结到github上(目前已收集546篇),后续会不断更新,欢迎关注,也欢迎大家提交自己的论文:

https://github.com/extreme-assistant/cvpr2019

今天为大家分享 CVPR2019 目标检测相关论文的汇总,本文首发于极市平台知乎专栏

https://zhuanlan.zhihu.com/p/60823819,欢迎关注专栏获取本系列后续更新~如有遗漏也欢迎大家留言补充或提出建议。

ps.极市也曾分享过一篇:CVPR2019目标检测方法进展综述,可以结合本文一起阅读~

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: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: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 | FSAF:来自CMU的Single-Shot目标检测算法 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

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

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 论文解读: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


后台回复机器学习获取学习资源


个人站点:

Github: https://github.com/FLyingLSJ

CSDN : https://blog.csdn.net/LSJ944830401

BLOG: https://flyinglsj.github.io/


原文发布于微信公众号 - 机器视觉CV(Unfinished_coder)

原文发表时间:2019-05-08

本文参与腾讯云自媒体分享计划,欢迎正在阅读的你也加入,一起分享。

发表于

我来说两句

0 条评论
登录 后参与评论

扫码关注云+社区

领取腾讯云代金券