【CVPR2018】论文整理(收藏这一篇就够了)

CVPR 2018

CVPR作为CV界最受关注的三大顶会之一，每一个CVer都应该好好关注CVPR的论文。CVPR2018在今年6月18日-22日在美国盐湖城举行。
如果你想要CVPR2018所有论文合集，可以访问这个链接：http://openaccess.thecvf.com/CVPR2018.py
如果你想看CVPR2018论文数据的详细统计，可以往下看。
先介绍一下CVPR2018的一些数据：

今年一共收到3309篇文章，其中979篇被录用。投录比约为29.5%。
收录论文按专家评分，分为三个层次：Poster, Spotlight, Oral。
Spotlight(亮点论文)一共有224篇，占收录论文(224/979)的22.88%。
Oral(演示论文)一共有70篇，占收录论文(70/979)的7.1%。

用一张韦恩图表示收录文章占比：

所以说，不光中篇CVPR难，中篇spotlight更难，中篇oral基本可以说是灰常难了。就这么说吧，今年国内所有高校加起来中的CVPR oral是个位数。

当然，最牛的还是Best paper 和best student paper，只会分别选出1篇。

今年的best paper给了来自Stanford和Berkeley的合作论文，论文标题为：

Taskonomy: Disentangling Task Transfer Learning

下载地址为：https://arxiv.org/abs/1804.08328

最佳学生论文来自CMU，标题为：

Total Capture: A 3D Deformation Model for Tracking Faces, Hands, and Bodies

下载地址为：https://arxiv.org/abs/1801.01615v1

当然，就像奥斯卡颁奖一样，最佳论文奖提名也可以突出文章质量很高。今年四篇最佳论文提名奖如下：

标题	第一单位	下载地址
Deep_Learning_of_Graph_Matching	Lund University	http://openaccess.thecvf.com /content_cvpr_2018 /CameraReady/1830.pdf
SPLATNet: Sparse Lattice Networks for Point Cloud Processing	UMass Amherst	https://arxiv.org/pdf/1802.08275.pdf
CodeSLAM-learning a Compact, Optimisable Representation for Dense Visual SLAM	帝国理工	https://arxiv.org/pdf/1804.00874.pdf
Efficient Optimization for Rank-based Loss Functions	IIIT Hyderabad	https://arxiv.org/pdf/1604.08269.pdf

所以，客观认为的论文含金量是：
best paper (2篇) > honorable mention(提名奖 4篇) > Oral (70篇) > Spotlight(224篇) > poster(其他)

CVPR2018虽好，可不要贪杯，一共有979篇，每天看1篇也得看3年，待你看完之日也是算法过时之时。所以，给各位CVer(包括自己)一些建议：

从高质量论文开始看，至少优先看spotlight或者oral论文。
在自己的领域找论文看，别想做什么CVPR的集大成者，如果你是CVPR oral大神，那么当我这条没说过。
哪里有CVPR论文分享会就去听，听原作者自己讲一个小时，比自己看一礼拜更管用。如果没有现场版，看看视频也是好的。

论文被引量同样可以看出论文的质量。截止到2019年3月份，CVPR2018论文google scholar被引量排名：

number	title	cited times	level
1	Squeeze-and-Excitation Networks	554	Oral
2	Learning Transferable Architectures for Scalable Image Recognition	335	Spotlight
3	ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices	332	Poster
4	MobileNetV2: Inverted Residuals and Linear Bottlenecks	256	Poster
5	Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering	227	Oral

最后

附上68篇oral论文标题：（文末有下载链接）

1	DensePose: Multi-Person Dense Human Pose Estimation In The Wild
2	Context Encoding for Semantic Segmentation
3	Augmented Skeleton Space Transfer for Depth-based Hand Pose Estimation
4	Semi-parametric Image Synthesis
5	Practical Block-wise Neural Network Architecture Generation
6	Are You Talking to Me? Reasoned Visual Dialog Generation through Adversarial Learning
7	PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume
8	Illuminant Spectra-based Source Separation Using Flash Photography
9	SPLATNet: Sparse Lattice Networks for Point Cloud Processing
10	Total Capture: A 3D Deformation Model for Tracking Faces, Hands, and Bodies
11	Deep Layer Aggregation
12	Left-Right Comparative Recurrent Model for Stereo Matching
13	Analytic Expressions for Probabilistic Moments of PL-DNN with Gaussian Input
14	An Analysis of Scale Invariance in Object Detection - SNIP
15	Finding Tiny Faces in the Wild with Generative Adversarial Network
16	Taskonomy: Disentangling Task Transfer Learning
17	High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs
18	Finding “It”: Weakly-Supervised Reference-Aware Visual Grounding in Instructional Video
19	Unsupervised Discovery of Object Landmarks as Structural Representations
20	Rotation Averaging and Strong Duality
21	Im2Flow: Motion Hallucination from Static Images for Action Recognition
22	Group Consistent Similarity Learning via Deep CRFs for Person Re-Identification
23	3D-RCNN: Instance-level 3D Scene Understanding via Render-and-Compare
24	Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering
25	Context Contrasted Feature and Gated Multi-scale Aggregation for Scene Segmentation
26	Squeeze-and-Excitation Networks
27	DoubleFusion: Real-time Capture of Human Performance with Inner Body Shape from a Single Depth Sensor
28	Learning to Find Good Correspondences
29	Actor and Action Video Segmentation from a Sentence
30	Maximum Classifier Discrepancy for Unsupervised Domain Adaptation
31	Detail-Preserving Pooling in Deep Networks
32	Convolutional Neural Networks with Alternately Updated Clique
33	Deep Learning of Graph Matching
34	Synthesizing Images of Humans in Unseen Poses
35	Neural Inverse Kinematics for Unsupervised Motion Retargetting
36	Direction-aware Spatial Context Features for Shadow Detection
37	Density Adaptive Point Set Registration
38	Hybrid Camera Pose Estimation
39	Relation Networks for Object Detection
40	Revisiting Salient Object Detection: Simultaneous Detection, Ranking, and Subitizing of Multiple Salient Objects
41	Im2Pano3D: Extrapolating 360 Structure and Semantics Beyond the Field of View
42	Polarimetric Dense Monocular SLAM
43	Wasserstein Introspective Neural Networks
44	The Perception-Distortion Tradeoff
45	Discriminative Learning of Latent Features for Zero-Shot Recognition
46	Photometric Stereo in Participating Media Considering Shape-Dependent Forward Scatter
47	Fast and Furious: Real Time End-to-End 3D Detection, Tracking and Motion Forecasting with a Single Convolutional Net
48	Trapping Light for Time of Flight
49	Feature Space Transfer for Data Augmentation
50	Self-supervised Multi-level Face Model Learning for Monocular Reconstruction at over 250Hz
51	CodeSLAM --- Learning a Compact, Optimisable Representation for Dense Visual SLAM
52	FlipDial: A Generative Model for Two-Way Visual Dialogue
53	OATM: Occlusion Aware Template Matching by Consensus Set Maximization
54	Surface Networks
55	VirtualHome: Simulating Household Activities via Programs
56	Egocentric Activity Recognition on a Budget
57	Improved Fusion of Visual and Language Representations by Dense Symmetric Co-Attention for Visual Question Answering
58	Efficient Optimization for Rank-based Loss Functions
59	MakeupGAN: Makeup Transfer via Cycle-Consistent Adversarial Networks
60	Revisiting Deep Intrinsic Image Decompositions
61	StarGAN: Unified Generative Adversarial Networks for Controllable Multi-Domain Image-to-Image Translation
62	Ordinal Depth Supervision for 3D Human Pose Estimation
63	Multi-Cell Classification by Convolutional Dictionary Learning with Class Proportion Priors
64	Accurate and Diverse Sampling of Sequences based on a ``Best of Many'' Sample Objective
65	MapNet: An Allocentric Spatial Memory for Mapping Environments
66	A Globally Optimal Solution to the Non-Minimal Relative Pose Problem
67	A Volumetric Descriptive Network for 3D Object Synthesis
68	Learning Face Age Progression: A Pyramid Architecture of GANs

我已经整理出所有oral文章，想打包下载的可以点击part1、part2

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【CVPR2018】论文整理(收藏这一篇就够了)

CVPR 2018

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