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Found 5 papers, 3 papers with code
Computational Approaches for Traditional Chinese Painting: From the "Six Principles of Painting" Perspective
Second, we created a four-stage framework to illustrate the purposes of TCP applications.
ScrollTimes: Tracing the Provenance of Paintings as a Window into History
The study of cultural artifact provenance, tracing ownership and preservation, holds significant importance in archaeology and art history.
Feature-Proxy Transformer for Few-Shot Segmentation
With a rethink of recent advances, we find that the current FSS framework has deviated far from the supervised segmentation framework: Given the deep features, FSS methods typically use an intricate decoder to perform sophisticated pixel-wise matching, while the supervised segmentation methods use a simple linear classification head.
DINs: Deep Interactive Networks for Neurofibroma Segmentation in Neurofibromatosis Type 1 on Whole-Body MRI
In this study, we propose deep interactive networks (DINs) to address the above limitations.
Prior-Enhanced Few-Shot Segmentation with Meta-Prototypes
The hierarchical features help the model highlight the decision boundary and focus on hard pixels, and the structural information learned from base classes is treated as the prior knowledge for novel classes.
