Tracking Instances as Queries
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Abstract (arXiv)
Recently, query based deep networks catch lots of attention owing to their end-to-end pipeline and competitive results on several fundamental computer vision tasks, such as object detection, semantic segmentation, and instance segmentation. However, how to establish a query based video instance segmentation (VIS) framework with elegant architecture and strong performance remains to be settled. In this paper, we present QueryTrack (i.e., tracking instances as queries), a unified query based VIS framework fully leveraging the intrinsic one-to-one correspondence between instances and queries in QueryInst. The proposed method obtains 52.7 / 52.3 AP on YouTube-VIS-2019 / 2021 datasets, which wins the 2-nd place in the YouTube-VIS Challenge at CVPR 2021 with a single online end-to-end model, single scale testing & modest amount of training data. We also provide QueryTrack-ResNet-50 baseline results on YouTube-VIS-2021 val set as references for the VIS community.
Key facts. Cited by 7 papers in the map (data through 7 Oct 2026). Builds on 23 of its 24 references that are in the map. First posted on arXiv 22 Jun 2021.
Builds on
23 of 24 references.
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11 more
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Citing papers per year: 2022: 4; 2023: 1; 2024: 2.
7 papers.
- 2022MinVIS: A Minimal Video Instance Segmentation Framework without Video-based Trainingcited by 94
- 2022Temporally Efficient Vision Transformer for Video Instance Segmentationcited by 55
- 2022Look Before You Match: Instance Understanding Matters in Video Object Segmentationcited by 33
- 2023GRAtt-VIS: Gated Residual Attention for Auto Rectifying Video Instance Segmentationcited by 9
- 2022Instance As Identity: A Generic Online Paradigm for Video Instance Segmentationcited by 8
- 2024What is Point Supervision Worth in Video Instance Segmentation?cited by 5
- 2024UVIS: Unsupervised Video Instance Segmentationcited by 5
- 2024UVIS: Unsupervised Video Instance Segmentation11 Jun 2024
- 2024What is Point Supervision Worth in Video Instance Segmentation?1 Apr 2024
- 2023GRAtt-VIS: Gated Residual Attention for Auto Rectifying Video Instance Segmentation26 May 2023
- 2022Look Before You Match: Instance Understanding Matters in Video Object Segmentation13 Dec 2022
- 2022Instance As Identity: A Generic Online Paradigm for Video Instance Segmentation5 Aug 2022
- 2022MinVIS: A Minimal Video Instance Segmentation Framework without Video-based Training3 Aug 2022
- 2022Temporally Efficient Vision Transformer for Video Instance Segmentation18 Apr 2022