research
∙
09/21/2023
FGFusion: Fine-Grained Lidar-Camera Fusion for 3D Object Detection
Lidars and cameras are critical sensors that provide complementary infor...
share
research
∙
10/22/2022
A Task-aware Dual Similarity Network for Fine-grained Few-shot Learning
The goal of fine-grained few-shot learning is to recognize sub-categorie...
research
∙
10/14/2022
Polycentric Clustering and Structural Regularization for Source-free Unsupervised Domain Adaptation
Source-Free Domain Adaptation (SFDA) aims to solve the domain adaptation...
research
∙
07/05/2022
Attention Guided Network for Salient Object Detection in Optical Remote Sensing Images
Due to the extreme complexity of scale and shape as well as the uncertai...
research
∙
05/18/2022
A lightweight multi-scale context network for salient object detection in optical remote sensing images
Due to the more dramatic multi-scale variations and more complicated for...
research
∙
08/21/2021
Robust Ensembling Network for Unsupervised Domain Adaptation
Recently, in order to address the unsupervised domain adaptation (UDA) p...
research
∙
08/21/2021
Multi-scale Edge-based U-shape Network for Salient Object Detection
Deep-learning based salient object detection methods achieve great impro...
research
∙
08/08/2021
