Cluster2Former: Semisupervised Clustering Transformers for Video Instance Segmentation

Cluster2Former: Semisupervised Clustering Transformers for Video Instance Segmentation

A novel approach for video instance segmentation is presented using semisupervised learning. Our Cluster2Former model leverages scribble-based annotations for training, significantly reducing the need for comprehensive pixel-level masks. We augment a video instance segmenter, for example, the Mask2F...

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Bibliographic Details
Main Authors: Áron Fóthi, Adrián Szlatincsán, Ellák Somfai
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Sensors
Subjects:
transformers
video processing
instance segmentation
semisupervised learning
Online Access:https://www.mdpi.com/1424-8220/24/3/997

Internet

https://www.mdpi.com/1424-8220/24/3/997

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