This repository is a paper digest of Transformer-related approaches in visual tracking tasks.

A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities

A deep learning code base, mainly for paper replication, in the areas of image recognition, object detection, image segmentation, self-supervision, etc. Each project can be run independently, and t…

A higher-level Neural Network library for microcontrollers.

PaddleRobotics is an open-source algorithm library for robots based on Paddle, including open-source parts such as human-robot interaction, complex motion control, environment perception, SLAM posi…

Implementation of popular deep learning networks with TensorRT network definition API

🛠 A lite C++ toolkit of awesome AI models with ONNXRuntime, NCNN, MNN and TNN. YOLOX, YOLOP, YOLOv5, YOLOR, NanoDet, YOLOX, SCRFD, YOLOX . MNN, NCNN, TNN, ONNXRuntime, CPU/GPU.

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

(2019)Visual object tracking based on correlation filtering

Sample codes for my CUDA programming book

Visual tracking library based on PyTorch.

Collect some papers about transformer with vision. Awesome Transformer with Computer Vision (CV)

DCFST

CVPR2020 Oral

Code for "ROAM: Recurrently Optimizing Tracking Model [CVPR2020]"

PySiamTracking project provides a flexible and effective framework that supports mainstream siamese-network-based trackers.

Must-read papers on graph neural networks (GNN)

🌺算法竞赛论文，课件，文档，笔记等资料，不断更新中

Companion webpage to the book "Mathematics For Machine Learning"

Geometric Deep Learning Extension Library for PyTorch

Pre-trained models, data, code & materials from the paper "ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness" (ICLR 2019 Oral)

This project reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.

ICCV2019最新录用情况

This is the implementation of CVPR'19 paper "SPM-Tracker: Series-Parallel Matching for Real-Time Visual Object Tracking"