research
∙
04/30/2023
Second-order Anisotropic Gaussian Directional Derivative Filters for Blob Detection
Interest point detection methods have received increasing attention and ...
share
research
∙
02/13/2023
Calibrating a Deep Neural Network with Its Predecessors
Confidence calibration - the process to calibrate the output probability...
research
∙
10/11/2022
EOCSA: Predicting Prognosis of Epithelial Ovarian Cancer with Whole Slide Histopathological Images
Ovarian cancer is one of the most serious cancers that threaten women ar...
research
∙
04/04/2022
Improving Monocular Visual Odometry Using Learned Depth
Monocular visual odometry (VO) is an important task in robotics and comp...
research
∙
06/15/2021
Image Feature Information Extraction for Interest Point Detection: A Comprehensive Review
Interest point detection is one of the most fundamental and critical pro...
research
∙
06/13/2021
NDPNet: A novel non-linear data projection network for few-shot fine-grained image classification
Metric-based few-shot fine-grained image classification (FSFGIC) aims to...
research
∙
04/20/2021
Free-form tumor synthesis in computed tomography images via richer generative adversarial network
The insufficiency of annotated medical imaging scans for cancer makes it...
research
∙
04/20/2021
Domain adaptation based self-correction model for COVID-19 infection segmentation in CT images
The capability of generalization to unseen domains is crucial for deep l...
research
∙
05/10/2020
Robust Tensor Decomposition for Image Representation Based on Generalized Correntropy
Traditional tensor decomposition methods, e.g., two dimensional principa...
research
∙
05/10/2020
A Robust Matching Pursuit Algorithm Using Information Theoretic Learning
Current orthogonal matching pursuit (OMP) algorithms calculate the corre...
research
∙
02/03/2020
DiverseDepth: Affine-invariant Depth Prediction Using Diverse Data
We present a method for depth estimation with monocular images, which ca...
research
∙
03/12/2019
Knowledge Adaptation for Efficient Semantic Segmentation
Both accuracy and efficiency are of significant importance to the task o...
research
∙
11/04/2018
RA-UNet: A hybrid deep attention-aware network to extract liver and tumor in CT scans
Automatic extraction of liver and tumor from CT volumes is a challenging...
research
∙
03/09/2018