3 citations · 13 across the 18 of their papers we have counts for
4 papers · 1 filter
A Task-aware Dual Similarity Network for Fine-grained Few-shot Learning
Yan Qi, Han Sun, Ningzhong Liu +1
The goal of fine-grained few-shot learning is to recognize sub-categories under the same super-category by learning few labeled samples. Most of the recent approaches adopt a singl…
Polycentric Clustering and Structural Regularization for Source-free Unsupervised Domain Adaptation
Xinyu Guan, Han Sun, Ningzhong Liu +1
Source-Free Domain Adaptation (SFDA) aims to solve the domain adaptation problem by transferring the knowledge learned from a pre-trained source model to an unseen target domain. M…
Attention Guided Network for Salient Object Detection in Optical Remote Sensing Images
Yuhan Lin, Han Sun, Ningzhong Liu +3
Due to the extreme complexity of scale and shape as well as the uncertainty of the predicted location, salient object detection in optical remote sensing images (RSI-SOD) is a very…
A lightweight multi-scale context network for salient object detection in optical remote sensing images
Yuhan Lin, Han Sun, Ningzhong Liu +3
Due to the more dramatic multi-scale variations and more complicated foregrounds and backgrounds in optical remote sensing images (RSIs), the salient object detection (SOD) for opt…