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。
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。
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