AutoML在 IEEE-ISI World Cup 2019竞赛中的应用：冠军团队DeepBlueAI技术分享

GitHub项目推荐|awesome-bert:BERT相关资源列表

【CVPR 2019 全部论文合集】 https://ai.yanxishe.com/page/resourceDetail/845

【CVPR 2019 Oral 论文精选】https://ai.yanxishe.com/page/resourceDetail/819

【CVPR 2018 全部论文合集】https://ai.yanxishe.com/page/resourceDetail/862

 

71.《Amodal Instance Segmentation With KINS Dataset》(CVPR 2019) 

GitHub地址：https://github.com/qqlu/Amodal-Instance-Segmentation-through-KINS-Dataset

 

70.《Translate-to-Recognize Networks for RGB-D Scene Recognition》(CVPR 2019) 

GitHub地址：https://github.com/ownstyledu/Translate-to-Recognize-Networks

 

69.《AET vs. AED: Unsupervised Representation Learning by Auto-Encoding Transformations rather than Data》(CVPR 2019) 

GitHub地址：https://github.com/maple-research-lab/AET

 

68.《Single Image Deraining: A Comprehensive Benchmark Analysis》(CVPR19) 

GitHub地址：https://github.com/lsy17096535/Single-Image-Deraining

 

67.《Homomorphic Latent Space Interpolation for Unpaired Image-to-image Translation》(CVPR 2019  Oral) 

GitHub地址：https://github.com/yingcong/HomoInterpGAN

 

66.《Interactive Image Segmentation via Backpropagating Refinement Scheme》(CVPR 2019) 

GitHub地址：https://github.com/wdjang/BRS-Interactive_segmentation

 

65.《Joint Semantic-Instance Segmentation of 3D Point Clouds》(CVPR 2019) 

GitHub地址：https://github.com/pqhieu/jsis3d

 

64.《Attention-based Adaptive Selection of Operations for Image Restoration in the Presence of Unknown Combined Distortions》(CVPR 2019) 

GitHub地址：https://github.com/sg-nm/Operation-wise-attention-network

 

63.《MAGSAC: Marginalizing sample consensus》(CVPR 2019) 

GitHub地址：https://github.com/danini/magsac

 

62.《Importance Estimation for Neural Network Pruning》(CVPR 2019) 

GitHub地址：https://github.com/NVlabs/Taylor_pruning

 

61.《Selective Kernel Networks(SKNet)》(CVPR2019) 

GitHub地址：https://github.com/ResearchingDexter/SKNet_pytorch

 

60.《Joint Discriminative and Generative Learning for Person Re-identification》 (CVPR 2019 Oral) 

GitHub地址：https://github.com/NVlabs/DG-Net

 

59.《SCOPS: Self-Supervised Co-Part Segmentation》(CVPR 2019) 

GitHub地址：https://github.com/NVlabs/SCOPS

 

58.《Deep Video Inpainting》 (CVPR 2019) 

GitHub地址：https://github.com/mcahny/Deep-Video-Inpainting

 

57.《3D Point Capsule Networks》(CVPR 2019) 

GitHub地址：https://github.com/yongheng1991/3D-point-capsule-networks

 

56.《Guided Stereo Matching》(CVPR 2019) 

GitHub地址：https://github.com/mattpoggi/guided-stereo

 

55.《C3AE: Exploring the Limits of Compact Model for Age Estimation》(CVPR 2019) 

GitHub地址：https://github.com/vicwer/C3AE_Age_Estimation

 

54.《BubbleNets: Learning to Select the Guidance Frame in Video Object Segmentation by Deep Sorting Frames》(CVPR 2019) 

GitHub地址：https://github.com/griffbr/BubbleNets

 

53.《ELASTIC: Improving CNNs with Dynamic Scaling Policies》(CVPR 2019 Oral) 

GitHub地址：https://github.com/allenai/elastic

 

52.《SelFlow: Self-Supervised Learning of Optical Flow》 (CVPR 2019 Oral) 

GitHub地址：https://github.com/ppliuboy/SelFlow

 

51.《HAQ: Hardware-Aware Automated Quantization with Mixed Precision》(CVPR 2019 oral) 

GitHub地址：https://github.com/mit-han-lab/HAQ

 

50.《Improving Semantic Segmentation via Video Propagation and Label Relaxation》(CVPR 2019 ) 

GitHub地址：https://github.com/NVIDIA/semantic-segmentation

 

49.《Bi-Directional Cascade Network for Perceptual Edge Detection(BDCN)》(CVPR 2019 ) 

GitHub地址：https://github.com/pkuCactus/BDCN

 

48.《Two-Stream Adaptive Graph Convolutional Networks for Skeleton-Based Action Recognition》(CVPR 2019) 

GitHub地址：https://github.com/lshiwjx/2s-AGCN

 

47.《Learning joint reconstruction of hands and manipulated objects》(CVPR 2019) 

GitHub地址：https://github.com/hassony2/obman_train

                     https://github.com/hassony2/obman

 

46.《AOGNets: Compositional Grammatical Architectures for Deep Learning》(CVPR 2019) 

GitHub地址：https://github.com/iVMCL/AOGNets

 

45.《Neural Rejuvenation: Improving Deep Network Training by Enhancing Computational Resource Utilization》(CVPR 2019 Oral) 

GitHub地址：https://github.com/joe-siyuan-qiao/NeuralRejuvenation-CVPR19

 

44.《Finding Task-Relevant Features for Few-Shot Learning by Category Traversal》(CVPR 2019 Oral) 

GitHub地址：https://github.com/Clarifai/few-shot-ctm

 

43.《Self-supervised 3D hand pose estimation through training by fitting》(CVPR 2019) 

GitHub地址：https://github.com/melonwan/sphereHand

 

42.《MOTS: Multi-Object Tracking and Segmentation》(CVPR 2019) 

GitHub地址：https://github.com/VisualComputingInstitute/mots_tools

 

41.《Segmentation-driven 6D Object Pose Estimation》(CVPR 2019) 

GitHub地址：https://github.com/cvlab-epfl/segmentation-driven-pose

 

40.《Timeception for Complex Action Recognition》(CVPR 2019) 

GitHub地址：https://github.com/noureldien/timeception

 

39.《GoodNews Everyone! Context driven entity aware captioning for news images》(CVPR 2019) 

GitHub地址：https://github.com/furkanbiten/GoodNews

 

38.《Structured Knowledge Distillation for Semantic Segmentation》(CVPR 2019 Oral) 

GitHub地址：https://github.com/irfanICMLL/structure_knowledge_distillation

 

37.《Self-supervised Spatio-temporal Representation Learning for Videos by Predicting Motion and Appearance Statistics》(CVPR 2019) 

GitHub地址：https://github.com/laura-wang/video_repres_mas

 

36.《Object-driven Text-to-Image Synthesis via Adversarial Training》(CVPR 2019) 

GitHub地址：https://github.com/jamesli1618/Obj-GAN

 

35.《Monocular Total Capture: Posing Face, Body and Hands in the Wild》(CVPR 2019) 

GitHub地址：https://github.com/CMU-Perceptual-Computing-Lab/MonocularTotalCapture

 

34.《Shapes and Context: In-the-wild Image Synthesis & Manipulation》(CVPR 2019) 

GitHub地址：https://github.com/aayushbansal/OpenShapes

 

 

33.《Robust Point Cloud Based Reconstruction of Large-Scale Outdoor Scenes》(CVPR 2019) 

GitHub地址：https://github.com/ziquan111/RobustPCLReconstruction

 

32.《DAVANet: Stereo Deblurring with View Aggregation》(CVPR 2019 Oral) 

GitHub地址：https://github.com/sczhou/DAVANet

 

31.《Taking A Closer Look at Domain Shift: Category-level Adversaries for Semantics Consistent Domain Adaptation》(CVPR 2019 Oral) 

GitHub地址：https://github.com/RoyalVane/CLAN

 

30《PPGNet: Learning Point-Pair Graph for Line Segment Detection》(CVPR 2019)

GitHub地址：https://github.com/svip-lab/PPGNet

 

29.《Distilling Object Detectors with Fine-grained Feature Imitation》(CVPR 2019) 

GitHub地址：https://github.com/twangnh/Distilling-Object-Detectors

 

28.《3D Hand Shape and Pose Estimation from a Single RGB Image》(CVPR 2019) 

GitHub地址：https://github.com/3d-hand-shape/hand-graph-cnn

 

27.《Wide-Context Semantic Image Extrapolation》(CVPR 2019)

GitHub地址：https://github.com/shepnerd/outpainting_srn

 

26.《Image-to-Image Translation via Group-wise Deep Whitening-and-Coloring Transformation》(CVPR 2019 Oral) 

GitHub地址：https://github.com/taki0112/GDWCT-Tensorflow

 

25.《Learning Non-volumetric Depth Fusion using Successive Reprojections》(CVPR 2019) 

GitHub地址：https://github.com/simon-donne/defusr

 

24.《Disentangled Representation Learning for 3D Face Shape》(CVPR 2019) 

GitHub地址：https://github.com/zihangJiang/DR-Learning-for-3D-Face

 

23.《Pixel-Adaptive Convolutional Neural Networks》(CVPR 2019)

GitHub地址：https://github.com/NVlabs/pacnet

 

22.《Modulating Image Restoration with Continual Levels via Adaptive Feature Modification Layers(AdaFM)》(CVPR 2019 oral) 

GitHub地址：https://github.com/hejingwenhejingwen/AdaFM

 

21.《Taking a Deeper Look at the Inverse Compositional Algorithm》 (CVPR 2019 Oral) 

GitHub地址：https://github.com/lvzhaoyang/DeeperInverseCompositionalAlgorithm

 

20.《Looking for the Devil in the Details: Learning Trilinear Attention Sampling Network for Fine-grained Image Recognition》(CVPR 2019) 

GitHub地址：https://github.com/Heliang-Zheng/TASN

 

19.《Multi-Target Embodied Question Answering》(CVPR 2019)

GitHub地址：https://github.com/lichengunc/mteqa

 

18.《Learning Context Graph for Person Search》(CVPR 2019 Oral) 

GitHub地址：https://github.com/sjtuzq/person_search_gcn

 

17.《Generating Classification Weights with GNN Denoising Autoencoders for Few-Shot Learning》(CVPR 2019) 

GitHub地址：https://github.com/gidariss/wDAE_GNN_FewShot

 

16.《Learning Parallax Attention for Stereo Image Super-Resolution》(CVPR 2019) 

GitHub地址：https://github.com/LongguangWang/PASSRnet

 

15.《Meta-SR: A Magnification-Arbitrary Network for Super-Resolution》(CVPR2019) 

GitHub地址：https://github.com/XuecaiHu/Meta-SR-Pytorch

 

14.《Learning Actor Relation Graphs for Group Activity Recognition》(CVPR 2019) 

GitHub地址:https://github.com/wjchaoGit/Group-Activity-Recognition

 

13.《HorizonNet: Learning Room Layout with 1D Representation and Pano Stretch Data Augmentation》(CVPR 2019) 

GitHub地址：https://github.com/sunset1995/HorizonNet

 

12.《3D-SIS: 3D Semantic Instance Segmentation of RGB-D Scans》(CVPR 2019 Oral)

GitHub地址：https://github.com/Sekunde/3D-SIS

 

11.《Exploiting temporal context for 3D human pose estimation in the wild》(CVPR 2019)

GitHub地址：https://github.com/deepmind/Temporal-3D-Pose-Kinetics

 

10.《Zoom To Learn, Learn To Zoom》(CVPR 2019)

GitHub地址：https://github.com/ceciliavision/zoom-learn-zoom

 

9.《Generalized Intersection over Union》(CVPR 2019)

GitHub地址：https://github.com/generalized-iou/Detectron.pytorch

 

8.《Reliable and Efficient Image Cropping: A Grid Anchor based Approach》(CVPR 2019)

GitHub地址：https://github.com/HuiZeng/Grid-Anchor-based-Image-Cropping

 

7.《Semantic Image Synthesis with Spatially-Adaptive Normalization Taesung》(CVPR 2019)

GitHub地址：https://github.com/divyanshj16/SPADE

 

6.《4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks》(CVPR 2019)

GitHub地址：https://github.com/StanfordVL/MinkowskiEngine

 

5.《Knowledge-Embedded Routing Network for Scene Graph Generation》(CVPR 2019)

GitHub地址：https://github.com/yuweihao/KERN

 

4.《Deep Flow-Guided Video Inpainting》(CVPR 2019)

GitHub地址：https://github.com/nbei/Deep-Flow-Guided-Video-Inpainting

 

3.《onvolutional Mesh Regression for Single-Image Human Shape Reconstruction》(CVPR2019)

GitHub地址：https://github.com/nkolot/GraphCMR

 

2.《Capture, Learning, and Synthesis of 3D Speaking Styles》(CVPR 2019)

GitHub地址：https://github.com/TimoBolkart/voca

 

1.《Meta-Transfer Learning for Few-Shot Learning》 (CVPR 2019)

GitHub地址：https://github.com/y2l/meta-transfer-learning-tensorflow