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0shot-classification

Zero-shot Intent Classification and Unknown Intent Detection

3d-pointcloud

Papers and Datasets about Point Cloud.

3d-resnets-pytorch

3D ResNets for Action Recognition (CVPR 2018)

3d_multiview_reg

[CVPR2020] Learning multiview 3D point cloud registration

a-pytorch-tutorial-to-object-detection

SSD: Single Shot MultiBox Detector | a PyTorch Tutorial to Object Detection

acrn_chest_x-ray_ia

Learning Deformable Registration of Medical Images with Anatomical Constraints

age-gender-estimation

Keras implementation of a CNN network for age and gender estimation

airlab

Image registration laboratory for 2D and 3D image data

anime-face-detector

A Faster-RCNN based anime face detector implementation using tensorflow.

anime4k

A High-Quality Real Time Upscaler for Anime Video

animegan2-pytorch

PyTorch implementation of AnimeGANv2

animeganv2

[Open Source]. The improved version of AnimeGAN. Landscape photos/videos to anime

antspy

Advanced Normalization Tools in Python

anyres-gan

arcanegan

ArcaneGAN

arcface-paddle

基于Paddle框架的arcface复现

auto.js

A UiAutomator on android, does not need root access(安卓平台上的JavaScript自动化工具)

awesome-eccv2022-low-level-vision

A Collection of Papers and Codes in ECCV2022 about low level vision

awesome-image-registration

image registration related books, papers, videos, and toolboxes

basnet

Code for CVPR 2019 paper. BASNet: Boundary-Aware Salient Object Detection

brainstorm

Implementation of "Data augmentation using learned transforms for one-shot medical image segmentation"

breast-cancer-risk-prediction

Classification of Breast Cancer diagnosis Using Support Vector Machines

bringing-old-photos-back-to-life

Bringing Old Photo Back to Life (CVPR 2020 oral)

ccpl

Official Pytorch implementation of CCPL and SCTNet (ECCV2022, Oral)

coder2gwy

互联网首份程序员考公指南，由3位已经进入体制内的前大厂程序员联合献上。

cotr

[MICCAI2021] CoTr: Efficiently Bridging CNN and Transformer for 3D Medical Image Segmentation

coupling_registration_segmentation

This repository is the official repository of the article U-ReSNet: Ultimate coupling of Registration and Segmentation with deep Nets presented in Miccai 2019 (Shenzhen)

crack-detection-beproject

A python-based crack detection and classification system using deep learning; used YOLO object detection algorithm. To extract the features of cracks we used Computer Vision and developed a desktop tool using Kivy to display the outcomes.

crack-detection-opencv

Crack Detection On Highway Or Pavement Using OpenCV

crack-semantic-segmentation

Responsible by Le vivi