IEEE

Class-Irrelevant Feature Removal for Few-Shot Image Classification

Abstract: Most existing few-shot image classification methods employ global pooling to aggregate class-relevant local features in a data-drive manner. Due to the difficulty and inaccuracy in locating ...
GitHub

FILM: image Fusion via vIsion-Language Model

[2024/07] Vision-Language Fusion (VLF) Dataset are public available. [2024/07] Codes and config files of FILM are public available. [2024/06] Release Project Page for ...
IEEE

Data Augmentation in Class-Conditional Diffusion Model for Semi-Supervised Medical Image ...

Abstract: Accurate segmentation of specific organs or diseased tissues in medical images is crucial for precise diagnosis and effective treatment planning. While fully-supervised deep learning methods ...
GitHub

Using Powerful Prior Knowledge of Diffusion Model in Deep Unfolding Networks for Image ...

1 School of Electronic and Information Engineering, Beijing Jiaotong University, China 2 School of Automation and Intelligence, Beijing Jiaotong University, China Recently, Deep Unfolding Networks ...