cvpr2018
There are 79 repositories under cvpr2018 topic.
yunjey/stargan
StarGAN - Official PyTorch Implementation (CVPR 2018)
NVlabs/PWC-Net
PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume, CVPR 2018 (Oral)
wywu/LAB
[CVPR 2018] Look at Boundary: A Boundary-Aware Face Alignment Algorithm
StanfordVL/GibsonEnv
Gibson Environments: Real-World Perception for Embodied Agents
zhirongw/lemniscate.pytorch
Unsupervised Feature Learning via Non-parametric Instance Discrimination
fidler-lab/polyrnn-pp
Inference Code for Polygon-RNN++ (CVPR 2018)
Sophia-11/Awesome-CVPR-Paper
CVPR 论文收集，包含但不限于2022、2021、2020、2019、2018、2017文章
fidler-lab/polyrnn-pp-pytorch
PyTorch training/tool code for Polygon-RNN++ (CVPR 2018)
d-li14/mobilenetv2.pytorch
72.8% MobileNetV2 1.0 model on ImageNet and a spectrum of pre-trained MobileNetV2 models
ThibaultGROUEIX/AtlasNet
This repository contains the source codes for the paper "AtlasNet: A Papier-Mâché Approach to Learning 3D Surface Generation ". The network is able to synthesize a mesh (point cloud + connectivity) from a low-resolution point cloud, or from an image.
jiangxiluning/FOTS.PyTorch
FOTS Pytorch Implementation
twhui/LiteFlowNet
LiteFlowNet: A Lightweight Convolutional Neural Network for Optical Flow Estimation, CVPR 2018 (Spotlight paper, 6.6%)
philferriere/tfoptflow
Optical Flow Prediction with TensorFlow. Implements "PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume," by Deqing Sun et al. (CVPR 2018)
ashishpatel26/365-Days-Computer-Vision-Learning-Linkedin-Post
365 Days Computer Vision Learning Linkedin Post
rui1996/DeRaindrop
Attentive Generative Adversarial Network for Raindrop Removal from A Single Image (CVPR 2018)
hezhangsprinter/DCPDN
Densely Connected Pyramid Dehazing Network (CVPR'2018)
art-programmer/PlaneNet
PlaneNet: Piece-wise Planar Reconstruction from a Single RGB Image
songdejia/Siamese-RPN-pytorch
This is a re-implementation of Siamese-RPN with pytorch, which is CVPR2018 spotlight.
jiwoon-ahn/psa
Learning Pixel-level Semantic Affinity with Image-level Supervision for Weakly Supervised Semantic Segmentation, CVPR 2018
mks0601/V2V-PoseNet_RELEASE
Official Torch7 implementation of "V2V-PoseNet: Voxel-to-Voxel Prediction Network for Accurate 3D Hand and Human Pose Estimation from a Single Depth Map", CVPR 2018
ZhouYanzhao/PRM
Weakly Supervised Instance Segmentation using Class Peak Response, in CVPR 2018 (Spotlight)
LarryJiang134/Image_manipulation_detection
Paper: CVPR2018, Learning Rich Features for Image Manipulation Detection
NVlabs/geomapnet
Geometry-Aware Learning of Maps for Camera Localization (CVPR2018)
ahangchen/TFusion
CVPR2018: Unsupervised Cross-dataset Person Re-identification by Transfer Learning of Spatio-temporal Patterns
MVIG-SJTU/WSHP
Code for CVPR'18 spotlight "Weakly and Semi Supervised Human Body Part Parsing via Pose-Guided Knowledge Transfer"
NVlabs/splatnet
SPLATNet: Sparse Lattice Networks for Point Cloud Processing (CVPR2018)
songdejia/DFL-CNN
This is a pytorch re-implementation of Learning a Discriminative Filter Bank Within a CNN for Fine-Grained Recognition
MaybeShewill-CV/attentive-gan-derainnet
Unofficial tensorflow implemention of "Attentive Generative Adversarial Network for Raindrop Removal from A Single Image (CVPR 2018) " model https://maybeshewill-cv.github.io/attentive-gan-derainnet/
hezhangsprinter/DID-MDN
Density-aware Single Image De-raining using a Multi-stream Dense Network (CVPR 2018)
alokwhitewolf/Guided-Attention-Inference-Network
Contains implementation of Guided Attention Inference Network (GAIN) presented in Tell Me Where to Look(CVPR 2018). This repository aims to apply GAIN on fcn8 architecture used for segmentation.
driving-behavior/DBNet
DBNet: A Large-Scale Dataset for Driving Behavior Learning, CVPR 2018
richardaecn/cvpr18-inaturalist-transfer
Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning. CVPR 2018
msmsajjadi/FRVSR
Frame-Recurrent Video Super-Resolution (official repository)
choasup/SIN
CVPR 2018: Structure Inference Net for Object Detection
WeitaoVan/L-GM-loss
Implementation of our accepted CVPR 2018 paper "Rethinking Feature Distribution for Loss Functions in Image Classification"