Cost Aggregation with 4D Convolutional Swin Transformer for Few-Shot Segmentation

Sunghwan Hong; Seokju Cho; Jisu Nam; Stephen Lin; Seungryong Kim

doi:10.1007/978-3-031-19818-2_7

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Cost Aggregation with 4D Convolutional Swin Transformer for Few-Shot Segmentation

Sunghwan Hong Seokju Cho Jisu Nam Stephen Lin Seungryong Kim

Year: 2022 Lecture notes in computer science Pages: 108-126 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-031-19818-2_7

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Keywords:

Computer science Transformer Segmentation Artificial intelligence Shot (pellet) One shot Computer vision Pattern recognition (psychology) Electrical engineering Materials science Voltage

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110

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18.04

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0.99

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Topics

Advanced Neural Network Applications

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Image Processing Techniques and Applications

Physical Sciences → Engineering → Media Technology

Image and Object Detection Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Cost Aggregation with 4D Convolutional Swin Transformer for Few-Shot Segmentation

Metrics

Citation History

Topics

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