CVPR 2020 论文开源项目合集

Visual Tracking Paper List

Visual tracking library based on PyTorch.

Tracking Benchmark for Correlation Filters

Matlab implementation of the ECO tracker.

Visual Object Tracking (VOT) challenge evaluation toolkit

Python re-implementation of some correlation filter based tracker

(2020)The PyTorch version of Siamese ，SiamFC，SiamRPN，DaSiamRPN，UpdateNet，SiamDW，SiamRPN++, SiamMask，and SiamFC++ ; Visual object tracking based on deep learning

PyTorch implementation of GOTURN object tracker: Learning to Track at 100 FPS with Deep Regression Networks (ECCV 2016)

Open source visual object tracking library in python

C++ Implementation of SiamMask

Reference implementation of the Visual Tracking eXchange protocol.

Implementation of MOSSE tracker in MATLAB: Visual Object Tracking using Adaptive Correlation Filters (CVPR 2010)

The official VOT evaluation toolkit

Kernel Cross-Correlator (KCC) for Tracking and Recognition (AAAI 2018)

2019-2020年目标跟踪资源全汇总（论文、模型代码、优秀实验室）极市团队整理

Official implementation of "Energy-Based Models for Deep Probabilistic Regression" (ECCV 2020) and "How to Train Your Energy-Based Model for Regression" (BMVC 2020).

Real-time visual object tracking using correlations filters and deep learning

Synthetic data generation for end-to-end TIR tracking (TIP2018)

Visual Object Tracking algorithms. Hold on! There is a lot to come

Visual Tracking by TridenAlign and Context Embedding

[ECCVW2018] A Memory Model based on the Siamese Network for Long-term Tracking (MMLT)

Matlab code for several visual tracking algorithms

A collection of trackers' code for Visual Tracker Benchmark (OTB).

ROS wrapper for CFTld with multiple objects, a long-term visual tracker (forked from https://github.com/AutonomyLab/cftld_ros)

zKCF is an extensible C++ implementation of KCF visual tracker.

Official implementation of deep-multi-trajectory-based single object tracking.

[CSED441] Introduction to Computer Vision Assignment - 2017 Fall

This Repo include some paperlist and code with visual tracking based on deep reinforcement。