There are 9 repositories under iccv2019 topic.
Text recognition (optical character recognition) with deep learning methods, ICCV 2019
FCOS: Fully Convolutional One-Stage Object Detection (ICCV'19)
ICCV2021/2019/2017 论文/代码/解读/直播合集,极市团队整理
This repository contains the code for the paper "PIFu: Pixel-Aligned Implicit Function for High-Resolution Clothed Human Digitization"
Official Pytorch implementation of CutMix regularizer
[ICCV 2019] "DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better" by Orest Kupyn, Tetiana Martyniuk, Junru Wu, Zhangyang Wang
Official PyTorch implementation of "Camera Distance-aware Top-down Approach for 3D Multi-person Pose Estimation from a Single RGB Image", ICCV 2019
Official implementation of Joint Monocular 3D Vehicle Detection and Tracking (ICCV 2019)
Official PyTorch implementation of "Camera Distance-aware Top-down Approach for 3D Multi-person Pose Estimation from a Single RGB Image", ICCV 2019
Official PyTorch implementation of "A Comprehensive Overhaul of Feature Distillation" (ICCV 2019)
A dataset for estimation of hand pose and shape from single color images.
35% faster than ResNet: Harmonic DenseNet, A low memory traffic network
Pixel2Mesh++: Multi-View 3D Mesh Generation via Deformation. In ICCV2019.
[ICCV 2019] Recursive Cascaded Networks for Unsupervised Medical Image Registration
DeepPruner: Learning Efficient Stereo Matching via Differentiable PatchMatch (ICCV 2019)
PyTorch implementation of Octave Convolution with pre-trained Oct-ResNet and Oct-MobileNet models
Code for paper "A2J: Anchor-to-Joint Regression Network for 3D Articulated Pose Estimation from a Single Depth Image". ICCV2019
Coherent Semantic Attention for image inpainting(ICCV 2019)
ICCV 2019 (oral) RankSRGAN: Generative Adversarial Networks with Ranker for Image Super-Resolution. PyTorch implementation
[ICCV 2019 (Oral)] Temporal Attentive Alignment for Large-Scale Video Domain Adaptation (PyTorch)
Zero-shot Video Object Segmentation via Attentive Graph Neural Networks (ICCV2019 Oral)
A PyTorch implementation of the paper: Specifying Object Attributes and Relations in Interactive Scene Generation
Code for ICCV2019 "Symmetric Cross Entropy for Robust Learning with Noisy Labels"
WB color augmenter improves the accuracy of image classification and image semantic segmentation methods by emulating different WB effects (ICCV 2019) [Python & Matlab].
Official implementation of Drop to Adapt: Learning Discriminative Features for Unsupervised Domain Adaptation presented at ICCV 2019.