RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs

Fine-tune Segment-Anything Model with Lightning Fabric.

Code for ICCV2019 paper "InstaBoost: Boosting Instance Segmentation Via Probability Map Guided Copy-Pasting"

The official Pytorch implementation of OCNet, OCRNet, and SegFix.

IEEE TIP: Is heuristic sampling necessary in training deep object detectors? Try sampling-free object detectors!

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

Official Implementation of How To Train Your Deep Multi-Object Tracker (CVPR2020)

Code for Online Multi-Object Tracking with Dual Matching Attention Network, ECCV 2018

TrackR-CNN baseline method for Multi-Object Tracking and Segmentation (MOTS)

A paper list of object detection using deep learning.

Minimal API for receptive field calculation in PyTorch

Code for CVPR 2019 paper "Libra R-CNN: Towards Balanced Learning for Object Detection"

Implement some models of RGB/RGBD semantic segmentation in PyTorch, easy to run. Such as FCN, RefineNet, PSPNet, RDFNet, 3DGNN, PointNet, DeepLab V3, DeepLab V3 plus, DenseASPP, FastFCN

Pytorch implementation of DeepLab V3+

mIOU=80.02 on cityscapes. My implementation of deeplabv3+ (also know as 'Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation' based on the dataset of cityscapes).

Semantic Segmentation

TorchCV: A PyTorch-Based Framework for Deep Learning in Computer Vision

🤘 awesome-semantic-segmentation

OpenMMLab Detection Toolbox and Benchmark

This is an unofficial version of IoU-Net which waiting to be finished.

Implementation of Hardness-Aware Deep Metric Learning (CVPR 2019 Oral) in Tensorflow.

C++/Python library for multiple object tracking via min-cost flow algorithms

A collection of Multiple Object Tracking (MOT) papers in recent years, with notes.

Learning to Track: Online Multi-Object Tracking by Decision Making

Implementin a genetic algorithm for Maximum Weighted Independent Set Problem

Learning Spatial-Temporal Regularized Correlation Filters for Visual Tracking (CVPR 2018)

This is the implementation of MOSSE tracking algorithm (correlation filter based).

Dual Attention Network for Scene Segmentation (CVPR2019)

surf detector with epipolar constraint

Simple Online Realtime Tracking with a Deep Association Metric