CLIP Driven Few-Shot Panoptic Segmentation

CLIP Driven Few-Shot Panoptic Segmentation

This paper presents CLIP Driven Few-shot Panoptic Segmentation (CLIP-FPS), a novel few-shot panoptic segmentation model that leverages the knowledge of Contrastive Language-Image Pre-training (CLIP) model. The proposed method builds upon a center indexing attention mechanism to facilitate knowledge...

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Bibliographic Details
Main Authors: Pengfei Xian, Lai-Man Po, Yuzhi Zhao, Wing-Yin Yu, Kwok-Wai Cheung
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Panoptic segmentation
CLIP
cityscapes
convolutional neural network
image processing
Online Access:https://ieeexplore.ieee.org/document/10164075/

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