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09/21/2023
FGFusion: Fine-Grained Lidar-Camera Fusion for 3D Object Detection
Lidars and cameras are critical sensors that provide complementary infor...
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06/28/2023
CLANet: A Comprehensive Framework for Cross-Batch Cell Line Identification Using Brightfield Images
Cell line authentication plays a crucial role in the biomedical field, e...
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05/21/2023
DiffUCD:Unsupervised Hyperspectral Image Change Detection with Semantic Correlation Diffusion Model
Hyperspectral image change detection (HSI-CD) has emerged as a crucial r...
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05/10/2023
MDD-Enabled Two-Tier Terahertz Fronthaul in Indoor Industrial Cell-Free Massive MIMO
To make indoor industrial cell-free massive multiple-input multiple-outp...
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04/03/2023
VTAE: Variational Transformer Autoencoder with Manifolds Learning
Deep generative models have demonstrated successful applications in lear...
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02/25/2023
Privacy-Preserving Electricity Theft Detection based on Blockchain
In most electricity theft detection schemes, consumers' power consumptio...
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01/11/2023
LSDM: Long-Short Diffeomorphic Motion for Weakly-Supervised Ultrasound Landmark Tracking
Accurate tracking of an anatomical landmark over time has been of high i...
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12/16/2022
Deep Learning Methods for Calibrated Photometric Stereo and Beyond: A Survey
Photometric stereo recovers the surface normals of an object from multip...
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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...
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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...
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09/08/2022
Representing Camera Response Function by a Single Latent Variable and Fully Connected Neural Network
Modelling the mapping from scene irradiance to image intensity is essent...
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08/07/2022
Cross-Skeleton Interaction Graph Aggregation Network for Representation Learning of Mouse Social Behaviour
Automated social behaviour analysis of mice has become an increasingly p...
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08/02/2022
CTooth+: A Large-scale Dental Cone Beam Computed Tomography Dataset and Benchmark for Tooth Volume Segmentation
Accurate tooth volume segmentation is a prerequisite for computer-aided ...
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08/01/2022
giMLPs: Gate with Inhibition Mechanism in MLPs
This paper presents a new model architecture, gate with inhibition MLP (...
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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...
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06/17/2022
DU-Net based Unsupervised Contrastive Learning for Cancer Segmentation in Histology Images
In this paper, we introduce an unsupervised cancer segmentation framewor...
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06/17/2022
CTooth: A Fully Annotated 3D Dataset and Benchmark for Tooth Volume Segmentation on Cone Beam Computed Tomography Images
3D tooth segmentation is a prerequisite for computer-aided dental diagno...
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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...
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05/02/2022
Attack Detection for Networked Control Systems Using Event-Triggered Dynamic Watermarking
Dynamic watermarking schemes can enhance the cyber attack detection capa...
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04/21/2022
Absolute Wrong Makes Better: Boosting Weakly Supervised Object Detection via Negative Deterministic Information
Weakly supervised object detection (WSOD) is a challenging task, in whic...
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03/08/2022
Source-free Domain Adaptation for Multi-site and Lifespan Brain Skull Stripping
Skull stripping is a crucial prerequisite step in the analysis of brain ...
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01/10/2022
Neuroplastic graph attention networks for nuclei segmentation in histopathology images
Modern histopathological image analysis relies on the segmentation of ce...
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12/30/2021
Colour alignment for relative colour constancy via non-standard references
Relative colour constancy is an essential requirement for many scientifi...
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12/17/2021
Oil Spill SAR Image Segmentation via Probability Distribution Modelling
Segmentation of marine oil spills in Synthetic Aperture Radar (SAR) imag...
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12/13/2021
Anchor Retouching via Model Interaction for Robust Object Detection in Aerial Images
Object detection has made tremendous strides in computer vision. Small o...
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12/13/2021
Semantically Contrastive Learning for Low-light Image Enhancement
Low-light image enhancement (LLE) remains challenging due to the unfavor...
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11/09/2021
Deep Convolution Network Based Emotion Analysis for Automatic Detection of Mild Cognitive Impairment in the Elderly
A significant number of people are suffering from cognitive impairment a...
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10/28/2021
Dispensed Transformer Network for Unsupervised Domain Adaptation
Accurate segmentation is a crucial step in medical image analysis and ap...
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09/28/2021
PSSPR: A Source Location Privacy Protection Scheme Based on Sector Phantom Routing in WSNs
Source location privacy (SLP) protection is an emerging research topic i...
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09/26/2021
Structure-aware scale-adaptive networks for cancer segmentation in whole-slide images
Cancer segmentation in whole-slide images is a fundamental step for viab...
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08/21/2021
Robust Ensembling Network for Unsupervised Domain Adaptation
Recently, in order to address the unsupervised domain adaptation (UDA) p...
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08/21/2021
Multi-scale Edge-based U-shape Network for Salient Object Detection
Deep-learning based salient object detection methods achieve great impro...
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08/18/2021
Multi-patch Feature Pyramid Network for Weakly Supervised Object Detection in Optical Remote Sensing Images
Object detection is a challenging task in remote sensing because objects...
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08/08/2021
MPI: Multi-receptive and Parallel Integration for Salient Object Detection
The semantic representation of deep features is essential for image cont...
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08/03/2021
Adaptive Affinity Loss and Erroneous Pseudo-Label Refinement for Weakly Supervised Semantic Segmentation
Semantic segmentation has been continuously investigated in the last ten...
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07/25/2021
Semantic Attention and Scale Complementary Network for Instance Segmentation in Remote Sensing Images
In this paper, we focus on the challenging multicategory instance segmen...
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07/15/2021
Incorporating Lambertian Priors into Surface Normals Measurement
The goal of photometric stereo is to measure the precise surface normal ...
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07/02/2021
Magnification-independent Histopathological Image Classification with Similarity-based Multi-scale Embeddings
The classification of histopathological images is of great value in both...
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06/25/2021
SRPN: similarity-based region proposal networks for nuclei and cells detection in histology images
The detection of nuclei and cells in histology images is of great value ...
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06/22/2021
Wallpaper Texture Generation and Style Transfer Based on Multi-label Semantics
Textures contain a wealth of image information and are widely used in va...
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06/11/2021
Learning the Precise Feature for Cluster Assignment
Clustering is one of the fundamental tasks in computer vision and patter...
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06/02/2021
Rotation Equivariant Feature Image Pyramid Network for Object Detection in Optical Remote Sensing Imagery
Over the last few years, there has been substantial progress in object d...
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04/18/2021
Gaussian Dynamic Convolution for Efficient Single-Image Segmentation
Interactive single-image segmentation is ubiquitous in the scientific an...
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04/12/2021
Dual Discriminator Adversarial Distillation for Data-free Model Compression
Knowledge distillation has been widely used to produce portable and effi...
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03/24/2021
Learning Polar Encodings for Arbitrary-Oriented Ship Detection in SAR Images
Common horizontal bounding box (HBB)-based methods are not capable of ac...
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03/21/2021
Learning Calibrated-Guidance for Object Detection in Aerial Images
Recently, the study on object detection in aerial images has made tremen...
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02/10/2021
Feature Analyses and Modelling of Lithium-ion Batteries Manufacturing based on Random Forest Classification
Lithium-ion battery manufacturing is a highly complicated process with s...
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01/26/2021
Synthetic Generation of Three-Dimensional Cancer Cell Models from Histopathological Images
Synthetic generation of three-dimensional cell models from histopatholog...
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01/20/2021
Class balanced underwater object detection dataset generated by class-wise style augmentation
Underwater object detection technique is of great significance for vario...
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01/07/2021
