演示:Track Anything - a Hugging Face Space by watchtowerss 1,论文摘要,技术介绍 论文《Track Anything: Segment Anything Meets Videos》提出了一种视频目标跟踪的新方法。其主要内容整理如下: Track Anything Model (TAM):一个通用的视频目标跟踪框架,可以跟踪任意目标而不需要手工标注。它包含一下几个模块:Segme...
我们提出了Track Anything Model(TAM),该模型在视频中实现了高性能的交互式跟踪和分割,仅需非常少的人类参与,同时在视频对象跟踪和分割方面表现出色。 Track Anything: Segment Anything Meets Videos Jinyu Yang,Mingqi Gao,Zhe Li,Shang Gao,Fangjing Wang,Feng Zheng Recently, the Segment Anything Model (SAM) ...
Title: Track Anything: Segment Anything Meets Videos Paper:https://arxiv.org/pdf/2304.11968.pdf Code:https://github.com/gaomingqi/Track-Anything 导读 近日,南方科技大学 VIP 实验室开源了一款基于 SAM 的跟踪模型——Track-Anything,可以轻松地对视频中感兴趣的目标进行标注、跟踪和一键隐藏。所见即所得,...
最近，Segment Anything Model（SAM）引起了广泛关注，因其在图像分割上的出色表现与高互动性。然而，它在视频中的表现并不理想。因此，我们提出了Track Anything Model（TAM），旨在实现高性能的视频对象跟踪与分割。TAM结合了XMEM与SAM，仅需少量人类参与，便能在一次推理中跟踪视频中的任意对象，并提供...
Recently, the Segment Anything Model (SAM) gains lots of attention rapidly due to its impressive segmentation performance on images. Regarding its strong ability on image segmentation and high interactivity with different prompts, we found that it performs poorly on consistent segmentation in videos. ...
: Track Anything: Segment Anything Meets Videos Paper:https://arxiv.org/pdf/2304.11968.pdfCode: 导读 近日,南方科技大学 VIP 实验室开源了一款基于 SAM 的跟踪模型——Track-Anything,可以轻松地对视频中感兴趣的目标进行标注、跟踪和一键隐藏。所见即所得,一键触发。先给大家展示一段Demo: ...
提出一种名为“Track Anything Model”的视频交互追踪和分割模型,在视频中可以快速高效地跟踪任意目标,并获得令人满意的分割结果,只需要少量的人工干预,具有较高的实用性和适用性。【转发】@爱可可-爱生活:[CV...
@misc{yang2023track, title={Track Anything: Segment Anything Meets Videos}, author={Jinyu Yang and Mingqi Gao and Zhe Li and Shang Gao and Fangjing Wang and Feng Zheng}, year={2023}, eprint={2304.11968}, archivePrefix={arXiv}, primaryClass={cs.CV} } 👏 Acknowledgements The project is...
@misc{yang2023track,title={Track Anything: Segment Anything Meets Videos},author={Jinyu Yang and Mingqi Gao and Zhe Li and Shang Gao and Fangjing Wang and Feng Zheng},year={2023},eprint={2304.11968},archivePrefix={arXiv},primaryClass={cs.CV}} ...
2 FeaturesTrack 队友迷之stl骚操作Morgana is learning computer vision, and he likes cats, too. One day he wants to find the cat movement a cat video. To do this, he extracts cat features in each frame. A cat feature i... i++ ...