KITTI Multi-Object Tracking

3D Multi-Object Tracking Using Graph Neural Networks with Cross-Edge Modality Attention. http://batch3dmot.cs.uni-freiburg.de

KITTI evaluation results for multi-object tracking using detectors with different performance.

HOTA (and other) evaluation metrics for Multi-Object Tracking (MOT).

Code for RA-L journal and IROS 2022 paper "DeepFusionMOT: A 3D Multi-Object Tracking Framework Based on Camera-LiDAR Fusion with Deep Association".

🔥ROS(c++)机器人操作系统 学习（写于2020年夏）

🔥3D-MOT(点云多目标检测和追踪C++) （2020 · 秋） 代码有详细注解

A project for 3D multi-object tracking

Use Kalman Filter and Hungarian algorithm to do tracking work based on 2D Lidar dataset of KITTI dataset

(IROS 2020, ECCVW 2020) Official Python Implementation for "3D Multi-Object Tracking: A Baseline and New Evaluation Metrics"

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

GTOT+RGBT234+RGBT210+LasHeR Evaluation Toolkit

Centralized Feature Pyramid for Object Detection

Fast and general video object segmentation evaluation.

SenseTime Research platform for single object tracking, implementing algorithms like SiamRPN and SiamMask.

PyTorch implementation of ARKitTrack for CVPR'2023 paper "ARKitTrack: A New Diverse Dataset for Tracking Using Mobile RGB-D Data", by Haojie Zhao, Junsong Chen, Lijun Wang, Huchuan Lu. Code will be…

This is a repository about PCB defect detection.

CLNet: A Compact Latent Network for Fast Adjusting Siamese Trackers. ECCV'20, T-PAMI'22.

Models and examples built with TensorFlow

code and results for 'Learning Adaptive Attribute-Driven Representation for Real-Time RGB-T Tracking'

[ECCV 2022] XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model

An efficient modular implementation of Associating Objects with Transformers for Video Object Segmentation in PyTorch

[CVPR 2021] MiVOS - Mask Propagation module. Reproduced STM (and better) with training code 🌟. Semi-supervised video object segmentation evaluation.

MDRNet+：Mitigating Modality Discrepancies for RGB-T Semantic Segmentation （ABMDRNet extended version）

[CVPR'22 & IJCV'24] Semi-Supervised Semantic Segmentation Using Unreliable Pseudo-Labels & Using Unreliable Pseudo-Labels for Label-Efficient Semantic Segmentation

SiamIVFN base on megvii-research/video_analyst

RFN-Nest(Information Fusion, 2021, Highly Cited Paper) - PyTorch =1.5，Python=3.7

Deep Learning-based Image Fusion: A Survey

Object Tracking in RGB-T Videos Using Modal-Aware Attention Network and Competitive Learning