Image Segmentation Using Text and Image Prompts

Image segmentation is usually addressed by training a model for a fixed set of object classes. Incorporating additional classes or more complex queries later is expensive as it requires re-training the model on a dataset that encompasses these expressions. Here we propose a system that can generate...

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Veröffentlicht in:	Proceedings (IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Online) S. 7076 - 7086
Hauptverfasser:	Luddecke, Timo, Ecker, Alexander
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.06.2022
Schlagworte:	Affordances grouping and shape analysis; Vision applications and systems Image segmentation Machine vision Predictive models Training Transfer/low-shot/long-tail learning; Deep learning architectures and techniques; Efficient learning and inferences; Robot vision; Segmentation Transformers Visualization
ISSN:	1063-6919
Online-Zugang:	Volltext
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