”cvpr2019“ 的搜索结果

CVPR 2019 Paper with Code

MVSNet (ECCV2018) & R-MVSNet (CVPR2019)

Dual Attention Network for Scene Segmentation (CVPR2019)

[CVPR2019] Fast Online Object Tracking and Segmentation: A Unifying Approach

翻译 - [CVPR2019]快速的在线对象跟踪和分段：统一方法

[CVPR2019 Oral] Normalized Object Coordinate Space for Category-Level 6D Object Pose and Size Estimation on Python3, Tensorflow, and Keras

Official implementation of paper "Learning Attraction Field Map for Robust Line Segment Detection" (CVPR 2019)

Code for 3rd Place Solution in Face Anti-spoofing Attack Detection Challenge @ CVPR2019,model only 0.35M!!! 1.88ms(CPU)

翻译 - 面部反欺骗攻击检测挑战赛第三名解决方案的代码@ CVPR2019，仅模型35万！ 1.88毫秒（CPU）

Workshop materials for OpenCV day at CVPR 2019 conference

Weakly Supervised Learning of Instance Segmentation with Inter-pixel Relations, CVPR 2019 (Oral)

code and model of Pyramid Feature Selective Network for Saliency detection

Wide-Context Semantic Image Extrapolation, CVPR2019

This repo provides the source code and models of our deeper and wider siamese trackers. For CVPR2019 blind review.

ChaLearn Face Anti-spoofing Attack Detection Challenge@CVPR2019

GCC dataset Collector and Labeler (GCC CL) [CVPR2019]

Meta-SR: A Magnification-Arbitrary Network for Super-Resolution (CVPR2019)

SiamRPN, SiamRPN++, unofficial implementation of "SiamRPN++" (CVPR2019), multi-GPUs, LMDB.

翻译 - SiamRPN，SiamRPN ++，“ SiamRPN ++”（CVPR2019）的非正式实现，多GPU，LMDB。

Code for the paper "Pose2Seg: Detection Free Human Instance Segmentation" @ CVPR2019.

[CVPR2019] The Perfect Match: 3D Point Cloud Matching with Smoothed Densities

[CVPR2019] Fully Automatic Video Colorization with Self-Regularization and Diversity

Exploring the Limits of Compact Model for Age Estimation. CVPR2019

Self-Supervised Learning of 3D Human Pose using Multi-view Geometry (CVPR2019)

Pytorch code for our paper "Feedback Network for Image Super-Resolution" (CVPR2019)

code for ChaLearn Face Anti-spoofing Attack Detection Challenge@CVPR2019

TensorFlow and PyTorch implementation of "Meta-Transfer Learning for Few-Shot Learning" (CVPR2019)

Implementation for the CVPR2019 paper "Graphical Contrastive Losses for Scene Graph Generation"