cv-ip Goto Github PK

ws_dan

The official TensorFlow implementation of WS-DAN.

wsolevaluation

Evaluating Weakly Supervised Object Localization Methods Right (CVPR 2020)

wss

A simple consistency training framework for semi-supervised image semantic segmentation

wtalc-pytorch

W-TALC: Weakly-supervised Temporal Activity Localization and Classification

www_deep_crowd

The source code for our CVPR 2015 work "Deeply Learned Attributes for Crowded Scene Understanding" with a two-branch CNN model.

x-clip

A concise but complete implementation of CLIP with various experimental improvements from recent papers

x-temporal

A general video understanding codebase from SenseTime X-Lab

xcnet

Open source repository at GitHub for Attention-based Stylisation for Exemplar Image Colourisation

xfields

Source code for xfields (SIGGRAPH Asia 2020)

xformers

Hackable and optimized Transformers building blocks, supporting a composable construction.

xfr

Explainable Face Recognition ECCV 2020 Paper code and dataset repository

xgrad-cam

xinggan

[ECCV 2020] XingGAN for Person Image Generation

xivo

X Inertial-aided Visual Odometry

xmodaler

X-modaler is a versatile and high-performance codebase for cross-modal analytics.

xmuda

Cross-Modal Unsupervised Domain Adaptationfor 3D Semantic Segmentation

xnor-net

xrcnet

A novel dense correspondence network

xvfi

Official repository of XVFI (accepted in ICCV2021, Oral)

yarp

YARP - Yet Another Robot Platform

yet-another-efficientdet-pytorch

The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.

yet-another-yolov4-pytorch

YOLOv4 Pytorch implementation with all freebies and specials and 15+ more exclusive improvements. Easy to use!

ynet

Y-Net: Joint Segmentation and Classification for Diagnosis of Breast Biopsy Images

yoco

Code for You Only Cut Once: Boosting Data Augmentation with a Single Cut, ICML 2022.

yolact

A simple, fully convolutional model for real-time instance segmentation.

yolact-pytorch

这是一个yolact-pytorch的库，可用于训练自己的数据集

yolact_edge

The first competitive instance segmentation approach that runs on small edge devices at real-time speeds.

yolact_minimal

Minimal PyTorch implementation of YOLACT.

yolo-fastest

:zap: Yolo universal target detection model combined with EfficientNet-lite, the calculation amount is only 230Mflops(0.23Bflops), and the model size is 1.3MB

yolo-fastestv2

:zap: Based on Yolo's low-power, ultra-lightweight universal target detection algorithm, the parameter is only 250k, and the speed of the smart phone mobile terminal can reach ~300fps+