research
∙
03/09/2023
Lifelong-MonoDepth: Lifelong Learning for Multi-Domain Monocular Metric Depth Estimation
In recent years, monocular depth estimation (MDE) has gained significant...
share
research
∙
12/31/2022
Peer Learning for Unbiased Scene Graph Generation
In this paper, we propose a novel framework dubbed peer learning to deal...
research
∙
12/31/2022
Attentional Graph Convolutional Network for Structure-aware Audio-Visual Scene Classification
Audio-Visual scene understanding is a challenging problem due to the uns...
research
∙
08/15/2022
CAME: Context-aware Mixture-of-Experts for Unbiased Scene Graph Generation
The scene graph generation has gained tremendous progress in recent year...
research
∙
05/28/2022
Feature Pyramid Attention based Residual Neural Network for Environmental Sound Classification
Environmental sound classification (ESC) is a challenging problem due to...
research
∙
09/10/2021
View Blind-spot as Inpainting: Self-Supervised Denoising with Mask Guided Residual Convolution
In recent years, self-supervised denoising methods have shown impressive...
research
∙
08/01/2021
Object-to-Scene: Learning to Transfer Object Knowledge to Indoor Scene Recognition
Accurate perception of the surrounding scene is helpful for robots to ma...
research
∙
08/01/2021
BORM: Bayesian Object Relation Model for Indoor Scene Recognition
Scene recognition is a fundamental task in robotic perception. For human...
research
∙
03/31/2021
Human Perception Modeling for Automatic Natural Image Matting
Natural image matting aims to precisely separate foreground objects from...
research
∙
11/30/2020
SplitNet: Divide and Co-training
The width of a neural network matters since increasing the width will ne...
research
∙
04/26/2020