Search Results for author:
Found 6 papers, 3 papers with code
Class Attention to Regions of Lesion for Imbalanced Medical Image Recognition
The CARE framework needs bounding boxes to represent the lesion regions of rare diseases.
Advancing Volumetric Medical Image Segmentation via Global-Local Masked Autoencoder
Masked autoencoder (MAE) is a promising self-supervised pre-training technique that can improve the representation learning of a neural network without human intervention.
OpenMedIA: Open-Source Medical Image Analysis Toolbox and Benchmark under Heterogeneous AI Computing Platforms
In this paper, we present OpenMedIA, an open-source toolbox library containing a rich set of deep learning methods for medical image analysis under heterogeneous Artificial Intelligence (AI) computing platforms.
Understanding of Kernels in CNN Models by Suppressing Irrelevant Visual Features in Images
In this paper, a simple yet effective optimization method is proposed to interpret the activation of any kernel of interest in CNN models.
Solution for Large-scale Long-tailed Recognition with Noisy Labels
This is a technical report for CVPR 2021 AliProducts Challenge.
DisCo: Remedy Self-supervised Learning on Lightweight Models with Distilled Contrastive Learning
Specifically, we find the final embedding obtained by the mainstream SSL methods contains the most fruitful information, and propose to distill the final embedding to maximally transmit a teacher's knowledge to a lightweight model by constraining the last embedding of the student to be consistent with that of the teacher.
