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Jae-hun Shim

2 accepted papers

2023

FeedFormer: Revisiting Transformer Decoder for Efficient Semantic Segmentation

AAAI 2023technical

With the success of Vision Transformer (ViT) in image classification, its variants have yielded great success in many downstream vision tasks. Among those, the semantic segmentation task has also benefited greatly from the advance of ViT variants. However, most studies of the transformer for semanti…

2022

Vision Transformer-Based Retina Vessel Segmentation with Deep Adaptive Gamma Correction

ICASSP 2022accepted

Accurate segmentation of the retina vessel is essential for the early diagnosis of eye-related diseases. Recently, convolutional neural networks have shown remarkable performance in retina vessel segmentation. However, the complexity of edge structural information and the changeable intensity distri…

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