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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491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.ContactDB: Analyzing and Predicting Grasp Contact via Thermal Imaging(Oral)
作者: Samarth Brahmbhatt, Cusuh Ham, Charles C. Kemp, and James Hays
论文链接:
https://contactdb.cc.gatech.edu/contactdb_paper.pdf
源码链接:
https://github.com/samarth-robo/contactdb_prediction
2.Aggregation Cross-Entropy for Sequence Recognition
作者:Zecheng Xie, Yaoxiong Huang, Yuanzhi Zhu, Lianwen Jin, Yuliang Liu, Lele Xie
论文链接:https://arxiv.org/abs/1904.08364
3.Variational Prototyping-Encoder: One-Shot Learning with Prototypical Images
作者:Junsik Kim, Tae-Hyun Oh, Seokju Lee, Fei Pan, In So Kweon
论文链接:https://arxiv.org/abs/1904.08482
4.Meta-learning Convolutional Neural Architectures for Multi-target Concrete Defect Classification with the COncrete DEfect BRidge IMage Dataset
作者:Martin Mundt, Sagnik Majumder, Sreenivas Murali, Panagiotis Panetsos, Visvanathan Ramesh
论文链接:https://arxiv.org/abs/1904.08486
5.Machine Vision Guided 3D Medical Image Compression for Efficient Transmission and Accurate Segmentation in the Clouds
作者:Zihao Liu, Xiaowei Xu, Tao Liu, Qi Liu, Yanzhi Wang, Yiyu Shi, Wujie Wen, Meiping Huang, Haiyun Yuan, Jian Zhuang
论文链接:https://arxiv.org/abs/1904.08487
6.Few-Shot Learning with Localization in Realistic Settings
作者:Davis Wertheimer, Bharath Hariharan
论文链接:https://arxiv.org/abs/1904.08502
7.Progressive Attention Memory Network for Movie Story Question Answering
作者:Junyeong Kim, Minuk Ma, Kyungsu Kim, Sungjin Kim, Chang D. Yoo
论文链接:https://arxiv.org/abs/1904.08607
8.Unsupervised Open Domain Recognition by Semantic Discrepancy Minimization
作者:Junbao Zhuo, Shuhui Wang, Shuhao Cui, Qingming Huang
论文链接:https://arxiv.org/abs/1904.08631
9.DDLSTM: Dual-Domain LSTM for Cross-Dataset Action Recognition
作者:Toby Perrett, Dima Damen
论文链接:https://arxiv.org/abs/1904.08634
10.Out-of-Distribution Detection for Generalized Zero-Shot Action Recognition
作者:Devraj Mandal, Sanath Narayan, Saikumar Dwivedi, Vikram Gupta, Shuaib Ahmed, Fahad Shahbaz Khan, Ling Shao
论文链接:https://arxiv.org/abs/1904.08703
11.A Theoretically Sound Upper Bound on the Triplet Loss for Improving the Efficiency of Deep Distance Metric Learning
作者:Thanh-Toan Do, Toan Tran, Ian Reid, Vijay Kumar, Tuan Hoang, Gustavo Carneiro
论文链接:https://arxiv.org/abs/1904.08720
12.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
13.4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks
作者:Christopher Choy, JunYoung Gwak, Silvio Savarese
论文链接:https://arxiv.org/abs/1904.08755
14.Attentive Single-Tasking of Multiple Tasks
作者:Kevis-Kokitsi Maninis, Ilija Radosavovic, Iasonas Kokkinos
论文链接:https://arxiv.org/abs/1904.08918
15.Towards VQA Models that can Read
作者:Amanpreet Singh, Vivek Natarajan, Meet Shah, Yu Jiang, Xinlei Chen, Dhruv Batra, Devi Parikh, Marcus Rohrbach
论文链接:https://arxiv.org/abs/1904.08920
16.Listen to the Image
作者:Di Hu, Dong Wang, Xuelong Li, Feiping Nie, Qi Wang
论文链接:https://arxiv.org/abs/1904.09115
17.SelFlow: Self-Supervised Learning of Optical Flow
作者:Pengpeng Liu, Michael Lyu, Irwin King, Jia Xu
论文链接:https://arxiv.org/abs/1904.09117
18.Visualizing the decision-making process in deep neural decision forest
作者:Shichao Li, Kwang-Ting Cheng
论文链接:https://arxiv.org/abs/1904.09201
源码链接:
https://github.com/Nicholasli1995/VisualizingNDF
19.STEP: Spatio-Temporal Progressive Learning for Video Action Detection(Oral,视频动作识别)
作者:Xitong Yang, Xiaodong Yang, Ming-Yu Liu, Fanyi Xiao, Larry Davis, Jan Kautz
论文链接:https://arxiv.org/abs/1904.09288
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