Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
SAM-Aware Graph Prompt Reasoning Network for Cross-Domain Few-Shot Segmentation
The primary challenge of cross-domain few-shot segmentation (CD-FSS) is the domain
disparity between the training and inference phases, which can exist in either the input data …
disparity between the training and inference phases, which can exist in either the input data …
Symmetrical Joint Learning Support-query Prototypes for Few-shot Segmentation
We propose Sym-Net, a novel framework for Few-Shot Segmentation (FSS) that addresses
the critical issue of intra-class variation by jointly learning both query and support prototypes …
the critical issue of intra-class variation by jointly learning both query and support prototypes …
Self-Supervised Image Segmentation Using Meta-Learning and Multi-Backbone Feature Fusion
MS Ajmal, G Geng, X Wang… - International journal of …, 2024 - pubmed.ncbi.nlm.nih.gov
Few-shot segmentation (FSS) aims to reduce the need for manual annotation, which is both
expensive and time-consuming. While FSS enhances model generalization to new concepts …
expensive and time-consuming. While FSS enhances model generalization to new concepts …
Adapting Informative Structures for Cross-Domain Few-Shot Segmentation
Cross-domain few-shot segmentation (CD-FSS) aims to segment objects of novel classes
under domain shifts, using only a few mask-annotated support samples. However, directly …
under domain shifts, using only a few mask-annotated support samples. However, directly …