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CVPR2019 | 29篇目標(biāo)檢測(cè)相關(guān)論文匯總(部分含源碼)

2019-05-23 10:27 作者:極市平臺(tái)  | 我要投稿

計(jì)算機(jī)視覺頂級(jí)會(huì)議CVPR2019 很快就要來了,極市已將目前收集到的公開論文總結(jié)到github上(目前已收集640篇,還在更新中),歡迎關(guān)注,也歡迎大家提交自己的論文:

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

之前推薦過的論文:

今天為大家分享 CVPR2019?目標(biāo)檢測(cè)相關(guān)論文的匯總,本文首發(fā)于極市平臺(tái)知乎專欄https://zhuanlan.zhihu.com/p/60823819,歡迎關(guān)注專欄獲取本系列后續(xù)更新~如有遺漏也歡迎大家留言補(bǔ)充或提出建議。


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


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(biāo)檢測(cè)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

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
一作直播:CVPR2019 專題直播 | CMU 諸宸辰:基于 Anchor-free 特征選擇模塊的單階目標(biāo)檢測(cè)


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(biāo)檢測(cè)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


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


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(xiàng)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(qǐng))
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


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CVPR2019 | 29篇目標(biāo)檢測(cè)相關(guān)論文匯總(部分含源碼)的評(píng)論 (共 條)

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