CVPR2019 | 03-21日更新10篇论文及代码汇总(2篇oral,含语义分割、物体识别、GAN、SLAM等)
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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:1300篇!CVPR2019接收结果公布,你中了吗?。目前官方只公布了接收论文ID列表,极市已汇总目前公开的所有论文链接及code(目前已更新221篇),今日更新论文如下:
CVPR2019 全部论文汇总:
https://github.com/extreme-assistant/cvpr2019
CVPR2019 论文解读
http://bbs.cvmart.net/topics/287/cvpr2019
1.Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses(Oral)
作者:Jérôme Rony, Luiz G. Hafemann, Luiz S. Oliveira, Ismail Ben Ayed, Robert Sabourin, Eric Granger
论文链接:https://arxiv.org/abs/1811.09600
代码链接:
https://github.com/jeromerony/fast_adversarial
2.Direct Object Recognition Without Line-of-Sight Using Optical Coherence(非视距物体识别技术)
作者:Xin Lei, Liangyu He, Yixuan Tan, Ken Xingze Wang, Xinggang Wang, Yihan Du, Shanhui Fan, Zongfu Yu
论文链接:https://arxiv.org/abs/1903.07705
3.Graphical Contrastive Losses for Scene Graph Generation
作者:Ji Zhang, Kevin J. Shih, Ahmed Elgammal, Andrew Tao, Bryan Catanzaro
论文链接:https://arxiv.org/abs/1903.02728
代码链接:
https://github.com/NVIDIA/ContrastiveLosses4VRD
4.Knowledge Adaptation for Efficient Semantic Segmentation(语义分割)
作者:Tong He, Chunhua Shen, Zhi Tian, Dong Gong, Changming Sun, Youliang Yan
论文链接:https://arxiv.org/abs/1903.04688
5.Improving Semantic Segmentation via Video Propagation and Label Relaxation(oral)
作者:Yi Zhu, Karan Sapra, Fitsum A. Reda, Kevin J. Shih, Shawn Newsam, Andrew Tao, Bryan Catanzaro
论文链接:https://arxiv.org/abs/1812.01593
6.Pay attention! - Robustifying a Deep Visuomotor Policy through Task-Focused Attention
作者:Pooya Abolghasemi, Amir Mazaheri, Mubarak Shah, Ladislau Bölöni
论文链接:https://arxiv.org/abs/1809.10093
7.Cross-task weakly supervised learning from instructional videos
作者:Dimitri Zhukov, Jean-Baptiste Alayrac, Ramazan Gokberk Cinbis, David Fouhey, Ivan Laptev, Josef Sivic
论文链接:https://arxiv.org/abs/1903.08225
8.In Defense of Pre-trained ImageNet Architectures for Real-time Semantic Segmentation of Road-driving Images
作者:Marin Oršić, Ivan Krešo, Petra Bevandić, Siniša Šegvić
论文链接:https://arxiv.org/abs/1903.08469
代码链接:https://github.com/orsic/swiftnet
9.OCGAN: One-class Novelty Detection Using GANs with Constrained Latent Representations
作者:Pramuditha Perera, Ramesh Nallapati, Bing Xiang
论文链接:https://arxiv.org/abs/1903.08550
10.An Efficient Schmidt-EKF for 3D Visual-Inertial SLAM
作者:Patrick Geneva, James Maley, Guoquan Huang
论文链接:https://arxiv.org/abs/1903.08636