master-qing Goto Github PK

bdcn

The code for the CVPR2019 paper Bi-Directional Cascade Network for Perceptual Edge Detection

bp-net

Implementation of our paper 'Bilateral Propagation Network for Depth Completion'

cob

Convolutional Oriented Boundaries

csp-oi

CSP-J/S, NOIP, 信息学奥林匹克竞赛真题收录

deformable-convnets

Deformable Convolutional Networks

deformable-detr

Deformable DETR: Deformable Transformers for End-to-End Object Detection.

densedepth

High Quality Monocular Depth Estimation via Transfer Learning

detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

detectron2

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

detr

End-to-End Object Detection with Transformers

dynamo-depth

[NeurIPS 2023] Dynamo-Depth: Fixing Unsupervised Depth Estimation for Dynamical Scenes

edter

EDTER: Edge Detection with Transformer, in CVPR 2022

fcrn-depthprediction

Deeper Depth Prediction with Fully Convolutional Residual Networks (FCRN)

gabor_cnn_pytorch

WACV2018/TIP: Gabor Convolutional Networks

hed

A PyTorch reimplementation of Holistically-Nested Edge Detection

hoitransformer

This is the code for HOI Transformer

how-do-vits-work

(ICLR 2022 Spotlight) Official PyTorch implementation of "How Do Vision Transformers Work?"

ij-ridgedetection

Detect ridges / lines with imagej

imagepy

Image process framework based on plugin like imagej, it is esay to glue with scipy.ndimage, scikit-image, opencv, simpleitk, mayavi...and any libraries based on numpy

label2everything

常见计算机视觉标注格式相互转换

ldc

LDC: Lightweight Dense CNN for Edge Detection

learnscratchmagicway

ml-cvnets

CVNets: A library for training computer vision networks

ml-taxinomitis-docs

Project worksheets for Machine Learning for Kids

mmaction2

OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark

monodepth

Unsupervised single image depth prediction with CNNs

monodepth2

[ICCV 2019] Monocular depth estimation from a single image

mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

pidinet

Code for the ICCV 2021 paper "Pixel Difference Networks for Efficient Edge Detection" (Oral).

pit