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adelaidet

AdelaiDet is an open source toolbox for multiple instance-level detection and recognition tasks.

ai-generated-characters

AI-generated-character

airnet-pytorch

Implementation of the paper ''Attention Inspiring Receptive-fields Network''

awesome-human-parsing

caffe-model

Caffe models (including classification, detection and segmentation) and deploy files for famouse networks

coop

Prompt Learning for Vision-Language Models (IJCV'22, CVPR'22)

crossnet-pytorch

deepvision

在我很多项目中用到的CV算法推理框架应用。

detectron2

Detectron2 is FAIR's next-generation platform for object detection and segmentation.

eql.detectron2

The official implementation of Equalization Loss for Long-Tailed Object Recognition (CVPR 2020) based on Detectron2. https://arxiv.org/abs/2003.05176

hier-r-cnn

Hier R-CNN: Instance-level Human Parts Detection and A New Benchmark

human-parts

The Human-Parts dataset used in DID-Net.

lvis-api

Python API for LVIS Dataset

m2fp

Mask2Former for Parsing (M2FP)

mmdetection

Open MMLab Detection Toolbox and Benchmark

moco

PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722

mvits_for_class_agnostic_od

Multi-modal Transformers Excel at Class-agnostic Object Detection

mxnet-model

Mxnet models (includimg classification, detection and segmentation) and deploy files for famouse networks

ncl

[CVPR2022] This repository contains code for the paper "Nested Collaborative Learning for Long-Tailed Visual Recognition", published at CVPR 2022

parsing-r-cnn

Parsing R-CNN for Instance-Level Human Analysis

py-rfcn-priv

code for py-R-FCN-multiGPU maintained by bupt-priv

pypriv

Python API for Deep Learning Development and Deployment

pytorch-priv

Pytorch implementation for Classification, Semantic Segmentation and Object Detection

pytorch_mask_rcnn

Converted from [tf+keras version MASK-RCNN](https://github.com/matterport/Mask_RCNN)

qanet

Quality-Aware Network

qualityformer

Quality Enhancement Network

rp-r-cnn

Renovating Parsing R-CNN for Accurate Multiple Human Parsing

segment-and-track-anything

An open-source project dedicated to tracking and segmenting any objects in videos, either automatically or interactively. The primary algorithms utilized include the Segment Anything Model (SAM) for key-frame segmentation and Associating Objects with Transformers (AOT) for efficient tracking and propagation purposes.

soeaver.github.io

stylegan-nada