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A personal investigative project to track the latest progress in the field of multi-modal object tracking.
PyTorch implementation of "Heterogeneous Graph Transformer for Multiple Tiny Object Tracking in RGB-T Videos", IEEE Transactions on MultiMedia.
Code of ICCV 2023 paper Cross-modal Orthogonal High-rank Augmentation for RGB-Event Transformer-trackers
[NeurIPS 2024 spotlight] Offical implementation of MSFA and release of SARDet_100K dataset for Large-Scale Synthetic Aperture Radar (SAR) Object Detection
code for CVPR2024 paper: DiffMOT: A Real-time Diffusion-based Multiple Object Tracker with Non-linear Prediction
The official implementation for ICCV'23 paper "Small Object Detection via Coarse-to-fine Proposal Generation and Imitation Learning"
Deformable DETR: Deformable Transformers for End-to-End Object Detection.
Segment Anything in High Quality [NeurIPS 2023]
PyTorch implementation of paper "ARTrack" and "ARTrackV2"
OVTrack: Open-Vocabulary Multiple Object Tracking [CVPR 2023]
Official PyTorch implementation of SparseTrack
The papers and results about RGB-T fusion tracking
A playbook for systematically maximizing the performance of deep learning models.
Robust Referring Video Object Segmentation with Cyclic Structural Consistency [ICCV 2023]
[CVPR2023] The official repo for OC-SORT: Observation-Centric SORT on video Multi-Object Tracking. OC-SORT is simple, online and robust to occlusion/non-linear motion.
Resources for Multiple Object Tracking (MOT)
Official implementation of paper: TubeTK: Adopting Tubes to Track Multi-Object in a One-Step Training Model (CVPR 2020 oral)
Quasi-Dense Similarity Learning for Multiple Object Tracking, CVPR 2021 (Oral)
VITA: Video Instance Segmentation via Object Token Association (NeurIPS 2022)
Use ChatGPT to summarize the arXiv papers. 全流程加速科研，利用chatgpt进行论文全文总结+专业翻译+润色+审稿+审稿回复