research
∙
09/07/2023
A-Eval: A Benchmark for Cross-Dataset Evaluation of Abdominal Multi-Organ Segmentation
Although deep learning have revolutionized abdominal multi-organ segment...
share
research
∙
08/30/2023
SAM-Med2D
The Segment Anything Model (SAM) represents a state-of-the-art research ...
research
∙
04/13/2023
STU-Net: Scalable and Transferable Medical Image Segmentation Models Empowered by Large-Scale Supervised Pre-training
Large-scale models pre-trained on large-scale datasets have profoundly a...
research
∙
10/14/2022
Exploring Vanilla U-Net for Lesion Segmentation from Whole-body FDG-PET/CT Scans
Tumor lesion segmentation is one of the most important tasks in medical ...
research
∙
07/07/2021
IntraLoss: Further Margin via Gradient-Enhancing Term for Deep Face Recognition
Existing classification-based face recognition methods have achieved rem...
research
∙
03/07/2020
TTPP: Temporal Transformer with Progressive Prediction for Efficient Action Anticipation
Video action anticipation aims to predict future action categories from ...
research
∙
11/28/2019
A Discriminative Learned CNN Embedding for Remote Sensing Image Scene Classification
In this work, a discriminatively learned CNN embedding is proposed for r...
research
∙
11/28/2019
A Discriminative Learned CNN Embedding For Remote Senseing Image Scene Classification
In this work, a discriminatively learned CNN embedding is proposed for r...
research
∙
05/30/2019
