DeefChuanbiaoLi's Stars
bubbliiiing/deeplabv3-plus-pytorch
这是一个deeplabv3-plus-pytorch的源码,可以用于训练自己的模型。
yzfzzz/Stereo-Detection
Conventional SGBM depth ranging + yolov5 object detection with deployment on Jeston nano
ibaiGorordo/CREStereo-Pytorch
Non-official Pytorch implementation of the CREStereo(CVPR 2022 Oral).
megvii-research/CREStereo
Official MegEngine implementation of CREStereo(CVPR 2022 Oral).
mileyan/AnyNet
(ICRA) Anytime Stereo Image Depth Estimation on Mobile Devices
YaoChengTang/DecNet
A Decomposition Model for Stereo Matching
mli0603/stereo-transformer
Revisiting Stereo Depth Estimation From a Sequence-to-Sequence Perspective with Transformers. (ICCV 2021 Oral)
gangweiX/ACVNet
[TPAMI 2024 & CVPR 2022] Attention Concatenation Volume for Accurate and Efficient Stereo Matching
Po-Hsun-Su/pytorch-ssim
pytorch structural similarity (SSIM) loss
DeepMotionAIResearch/DenseMatchingBenchmark
Dense Matching Benchmark
ShusenTang/Dive-into-DL-PyTorch
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
dl19940602/GCnet-pytorch
This is a pytorch type of block,including Non-local block,Simple Non-local block,GC block and all GC block; refer to paper《GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond》
facebookresearch/video-nonlocal-net
Non-local Neural Networks for Video Classification
XuelianCheng/LEAStereo
Hierarchical Neural Architecture Searchfor Deep Stereo Matching (NeurIPS 2020)
gpcv-luochong/gc-net
implement gc-net(Geometry and Context Network) by pytorch
JiaRenChang/PSMNet
Pyramid Stereo Matching Network (CVPR2018)
ggyyzm/pytorch_segmentation
Semantic segmentation models, datasets and losses implemented in PyTorch.