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windaway's Projects

autoeq icon autoeq

Automatic headphone equalization from frequency responses

autofocus icon autofocus

基于爬山法和块反差的相机对焦算法。

awesome-semantic-segmentation-pytorch icon awesome-semantic-segmentation-pytorch

Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)

cascadepsp icon cascadepsp

[CVPR2020] CascadePSP: Toward Class-Agnostic and Very High-Resolution Segmentation via Global and Local Refinement

cfnet icon cfnet

(CVPR'17) Training a Correlation Filter end-to-end allows lightweight networks of 2 layers (600 kB) to achieve state-of-the-art performance in tracking, at high-speed.

cutlass icon cutlass

CUDA Templates for Linear Algebra Subroutines

darts icon darts

Differentiable architecture search for convolutional and recurrent networks

dcam icon dcam

Dual-context aggregation for universal image matting

dsod-tensorflow icon dsod-tensorflow

DSOD算法的TF实现,已经写完原型,还没在VOC上训练完成测试,训练参数和权重分配自己调整吧。

fba_matting icon fba_matting

Official repository for the paper F, B, Alpha Matting

hop-matting icon hop-matting

Official repository for Hierarchical Opacity Propagation for Image Matting

maskformer icon maskformer

Per-Pixel Classification is Not All You Need for Semantic Segmentation

mgmatting icon mgmatting

This repository includes the official project of Mask Guided (MG) Matting, presented in our paper: Mask Guided Matting via Progressive Refinement Network

mmdnn icon mmdnn

MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch and CoreML.

models icon models

Models and examples built with TensorFlow

mvision icon mvision

机器人视觉 移动机器人 VS-SLAM ORB-SLAM2 深度学习目标检测 yolov3 行为检测 opencv PCL 机器学习 无人驾驶

noah icon noah

Searching prompt modules for parameter-efficient transfer learning.

orb_slam2 icon orb_slam2

Real-Time SLAM for Monocular, Stereo and RGB-D Cameras, with Loop Detection and Relocalization Capabilities

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