Self-supervised Few-shot Learning for Semantic Segmentation: An Annotation-free Approach

26 July 2023

Papers citing "Self-supervised Few-shot Learning for Semantic Segmentation: An Annotation-free Approach"

7 / 7 papers shown

Title
Reducing Annotation Burden: Exploiting Image Knowledge for Few-Shot Medical Video Object Segmentation via Spatiotemporal Consistency Relearning Zixuan Zheng Yilei Shi Chunlei Li Jingliang Hu Xiao Xiang Zhu Lichao Mou 45 0 0 19 Mar 2025
Group-On: Boosting One-Shot Segmentation with Supportive Query Hanjing Zhou Mingze Yin JinTai Chen Danny Chen Jian Wu VLM ISeg 43 1 0 18 Apr 2024
Self-supervised Semantic Segmentation: Consistency over Transformation Sanaz Karimijafarbigloo Reza Azad A. Kazerouni Yury Velichko Ulas Bagci Dorit Merhof 23 3 0 31 Aug 2023
Beyond Self-Attention: Deformable Large Kernel Attention for Medical Image Segmentation Reza Azad Leon Niggemeier Michael Huttemann A. Kazerouni Ehsan Khodapanah Aghdam Yury Velichko Ulas Bagci Dorit Merhof MedIm 26 57 0 31 Aug 2023
Laplacian-Former: Overcoming the Limitations of Vision Transformers in Local Texture Detection Reza Azad A. Kazerouni Babak Azad Ehsan Khodapanah Aghdam Yury Velichko Ulas Bagci Dorit Merhof ViT MedIm 11 17 0 31 Aug 2023
Unlocking Fine-Grained Details with Wavelet-based High-Frequency Enhancement in Transformers Reza Azad A. Kazerouni Alaa Sulaiman Afshin Bozorgpour Ehsan Khodapanah Aghdam Abin Jose Dorit Merhof ViT MedIm 23 9 0 25 Aug 2023
A Spatial Guided Self-supervised Clustering Network for Medical Image Segmentation E. Ahn D. Feng Jinman Kim 28 26 0 11 Jul 2021