MSDNet: Multi-Scale Decoder for Few-Shot Semantic Segmentation via Transformer-Guided Prototyping

31 December 2024

Papers citing "MSDNet: Multi-Scale Decoder for Few-Shot Semantic Segmentation via Transformer-Guided Prototyping"

5 / 5 papers shown

Title
TSAL: Few-shot Text Segmentation Based on Attribute Learning Chenming Li Chengxu Liu Yuanting Fan Xiao Jin Xingsong Hou Xueming Qian VLM 33 0 0 15 Apr 2025
Enhancing Few-Shot Image Classification through Learnable Multi-Scale Embedding and Attention Mechanisms Fatemeh Askari Amirreza Fateh Mohammad Reza Mohammadi 61 3 0 17 Jan 2025
A comprehensive review and new taxonomy on superpixel segmentation I. B. Barcelos F. de C. Belém L. de M. João Z. K. G. do Patrocínio Jr. A. X. Falcão S. J. F. Guimarães 43 5 0 27 Sep 2024
Efficient and Accurate Pneumonia Detection Using a Novel Multi-Scale Transformer Approach Alireza Saber Pouria Parhami Alimihammad Siahkarzadeh Amirreza Fateh Amirreza Fateh ViT MedIm 32 9 0 08 Aug 2024
Self-Regularized Prototypical Network for Few-Shot Semantic Segmentation Henghui Ding Hui Zhang Xudong Jiang 54 59 0 30 Oct 2022