CVPR2019 | 29篇目標檢測相關論文匯總(含2D/3D/顯著性目標檢測等)


CVPR2019 | 29篇目標檢測相關論文匯總(含2D/3D/顯著性目標檢測等)

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

解讀: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 論文鏈接:https://arxiv.org/abs/1902.09630 論文解讀:CVPR2019 | 目標檢測新文: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 論文鏈接: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 論文鏈接:https://arxiv.org/abs/1902.10903 Github源碼:

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 論文鏈接: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 論文鏈接:https://arxiv.org/abs/1901.03278 論文解讀:港中大-商湯聯合實驗室等提出:Guided Anchoring: 物體檢測器也能自己學 Anchor

Github鏈接: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 論文鏈接: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 論文鏈接: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 論文鏈接:https://arxiv.org/abs/1903.00621 論文解讀:CVPR2019 | CMU提出Single-Shot目標檢測最強算法:FSAF 一作直播:CVPR2019 專題直播 | CMU 諸宸辰:基於 Anchor-free 特征選擇模塊的單階目標檢測

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 論文鏈接:https://arxiv.org/abs/1812.02122 代碼鏈接:

https://github.com/cherubicXN/afm_cvpr2019

11、Latent Space Autoregression for Novelty Detection 作者:Davide Abati, Angelo Porrello, Simone Calderara, Rita Cucchiara 論文鏈接:https://arxiv.org/abs/1807.01653 代碼鏈接: 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 論文鏈接:https://arxiv.org/abs/1812.04798 13、Few-shot Adaptive Faster R-CNN 作者:Tao Wang, Xiaopeng Zhang, Li Yuan, Jiashi Feng 論文鏈接: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 論文鏈接:https://arxiv.org/abs/1903.10831

15、Bounding Box Regression with Uncertainty for Accurate Object Detection(目標檢測邊界框回歸損失算法) 作者:Yihui He, Chenchen Zhu, Jianren Wang, Marios Savvides, Xiangyu Zhang 論文鏈接:https://arxiv.org/abs/1809.08545 代碼鏈接:https://github.com/yihui-he/KL-Loss

解讀:CMU和曠視科技開源:KL-Loss目標檢測邊界框回歸新算法(CVPR2019)

16、Precise Detection in Densely Packed Scenes 作者:Eran Goldman , Roei Herzig, Aviv Eisenschtat, Jacob Goldberger, Tal Hassner 論文鏈接: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 論文鏈接: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 論文鏈接: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 論文鏈接:https://arxiv.org/abs/1904.02701

解讀:浙大和商湯等提出:Libra RCNN目標檢測新算法(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 論文鏈接:https://arxiv.org/abs/1904.03175 21、Towards Universal Object Detection by Domain Attention 作者:Xudong Wang, Zhaowei Cai, Dashan Gao, Nuno Vasconcelos 論文鏈接:https://arxiv.org/abs/1904.04402 項目鏈接:

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 論文鏈接: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 論文鏈接: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 論文鏈接: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 論文鏈接:https://arxiv.org/abs/1904.09569 源碼鏈接: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 論文鏈接:https://drive.google.com/open?id=1JcZMHBXEX-7AR1P010OXg_wCCC5HukeZ (需要申請) 源碼鏈接: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 論文鏈接: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 論文鏈接:待定 源碼鏈接:

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 論文鏈接:https://arxiv.org/abs/1810.08425v3 源碼鏈接:

https://github.com/KimSoybean/ScratchDet

原文發布於微信公眾號 - 目標檢測和深度學習(The_leader_of_DL_CV)

原文發表時間:2019-05-20

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