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09/02/2023
S^3-MonoDETR: Supervised Shape Scale-perceptive Deformable Transformer for Monocular 3D Object Detection
Recently, transformer-based methods have shown exceptional performance i...
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08/16/2023
AATCT-IDS: A Benchmark Abdominal Adipose Tissue CT Image Dataset for Image Denoising, Semantic Segmentation, and Radiomics Evaluation
Methods: In this study, a benchmark Abdominal Adipose Tissue CT Image Da...
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08/02/2023
Contrast-augmented Diffusion Model with Fine-grained Sequence Alignment for Markup-to-Image Generation
The recently rising markup-to-image generation poses greater challenges ...
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06/11/2023
VPUFormer: Visual Prompt Unified Transformer for Interactive Image Segmentation
The integration of diverse visual prompts like clicks, scribbles, and bo...
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05/12/2023
SSD-MonoDTR: Supervised Scale-constrained Deformable Transformer for Monocular 3D Object Detection
Transformer-based methods have demonstrated superior performance for mon...
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12/26/2022
OMSN and FAROS: OCTA Microstructure Segmentation Network and Fully Annotated Retinal OCTA Segmentation Dataset
The lack of efficient segmentation methods and fully-labeled datasets li...
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04/29/2022
Noise-reducing attention cross fusion learning transformer for histological image classification of osteosarcoma
The degree of malignancy of osteosarcoma and its tendency to metastasize...
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04/08/2022
Self-Supervised Graph Neural Network for Multi-Source Domain Adaptation
Domain adaptation (DA) tries to tackle the scenarios when the test data ...
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03/08/2022
Graph Attention Transformer Network for Multi-Label Image Classification
Multi-label classification aims to recognize multiple objects or attribu...
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10/29/2020
An automated and multi-parametric algorithm for objective analysis of meibography images
Meibography is a non-contact imaging technique used by ophthalmologists ...
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08/22/2019