boykac's Stars
rdevon/DIM
Deep InfoMax (DIM), or "Learning Deep Representations by Mutual Information Estimation and Maximization"
alvinwan/shiftresnet-cifar
ResNet with Shift, Depthwise, or Convolutional Operations for CIFAR-100, CIFAR-10 on PyTorch
dingmyu/D4LCN
A pytorch implementation of "D4LCN: Learning Depth-Guided Convolutions for Monocular 3D Object Detection" CVPR 2020
facebookresearch/pifuhd
High-Resolution 3D Human Digitization from A Single Image.
DocF/Soft-NMS
Python and Pytorch two implements of Soft NMS algorithm
bharatsingh430/soft-nms
Object Detection
facebookresearch/detr
End-to-End Object Detection with Transformers
YvanYin/DiverseDepth
The code and data of DiverseDepth
YvanYin/VNL_Monocular_Depth_Prediction
Monocular Depth Prediction
ErenBalatkan/Bts-PyTorch
PyTorch implementation of BTS Depth Estimator
racinmat/GTAVisionExport-postprocessing
umautobots/gta-postprocessing
Postprocessing code for GTA
elsewhat/gtav-mod-scene-director
GTA V mod for Director Mode
fabbrimatteo/JTA-Dataset
umautobots/driving-in-the-matrix
Steps to reproduce training results for the paper Driving in the Matrix: Can Virtual Worlds Replace Human-Generated Annotations for Real World Tasks?
umautobots/GTAVisionExport
Code to export full segmentations from GTA
aitorzip/DeepGTAV
A plugin for GTAV that transforms it into a vision-based self-driving car research environment.
gdpinchina/DeeperGTAV
Code refactoring and extending from https://github.com/aitorzip/DeepGTAV. Add support for driving mode, virtual LiDAR and GTAVisionNative library. The bug of vehicles generated in wrong position has been fixed.
yifenghuang/GTA_Dataminer
A Data collector for self-driving using GTA5
gjy3035/GCC-CL
GCC dataset Collector and Labeler (GCC CL) [CVPR2019]
gjy3035/GCC-SFCN
This is the official code of spatial FCN in the paper Learning from Synthetic Data for Crowd Counting in the Wild [CVPR2019].
CommissarMa/CSRNet-pytorch
The simple implemention of CSRNet.
CommissarMa/Crowd_counting_from_scratch
This is an overview and tutorial about crowd counting. In this repository, you can learn how to estimate number of pedestrians in crowd scenes through computer vision and deep learning.
HannH/DMFN
unofficial implement of DMFN
KaiyangZhou/deep-person-reid
Torchreid: Deep learning person re-identification in PyTorch.
ZongyuGuo/Inpainting_FRRN
Vious/LBAM_Pytorch
Pytorch re-implementation of Paper: Image Inpainting with Learnable Bidirectional Attention Maps (ICCV 2019)
shleecs/Copy-and-Paste-Networks-for-Deep-Video-Inpainting
Official Pytorch implementation of Copy-and-Paste Networks for Deep Video Inpainting (ICCV 2019)
geekyutao/Image-Inpainting
A paper summary of image inpainting
dontLoveBugs/DORN_pytorch
PyTorch implementation of Deep Ordinal Regression Network for Monocular Depth Estimation