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[ECCV'22 Oral] Towards Grand Unification of Object Tracking (by MasterBin-IIAU)
Brief Overview We present a unified method, termed Unicorn, that can simultaneously solve four tracking problems (SOT, MOT, VOS, MOTS) with a single network using the same model parameters. For the first time, we accomplished the great unification of the tracking network architecture and learning paradigm. Unicorn performs on-par or better than its task-specific counterparts in 8 tracking datasets, including LaSOT, TrackingNet, MOT17, BDD100K, DAVIS16-17, MOTS20, and BDD100K MOTS. Our work is accepted to ECCV 2022 as an oral presentation ! Paper: https://arxiv.org/abs/2207.07078 Code: https://github.com/MasterBin-IIAU/Unicorn
[ECCV 2022] XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model
Have you check XMem?
Access the most powerful time series database as a service. Ingest, store, & analyze all types of time series data in a fully-managed, purpose-built database. Keep data forever with low-cost storage and superior data compression.
Track-Anything: a flexible and interactive tool for video object tracking and segmentation, based on Segment Anything and XMem.
3 projects | /r/StableDiffusion | 25 Apr 2023
need help with object detection and object tracking using yolov4
1 project | /r/matlab | 7 Aug 2022
[D] Most Popular AI Research July 2022 pt. 2 - Ranked Based On GitHub Stars
10 projects | /r/MachineLearning | 6 Aug 2022
Most Popular AI Research July 2022 pt. 2 - Ranked Based On GitHub Stars
10 projects | /r/learnmachinelearning | 2 Aug 2022
Researchers from Bytedance and Dalian University Propose 🦄 ‘Unicorn’: a Unified Computer Vision Approach to Address Four Tracking Tasks Using a Single Model with the Same Model Parameters
1 project | /r/computervision | 20 Jul 2022