Frontiers

Optimized encoder-based transformers for improved local and global integration in railway image classification

Railway image classification (RIC) represents a critical application in railway infrastructure monitoring, involving the analysis of hyperspectral datasets with complex spatial-spectral relationships ...
Law

Legaltech Rundown: Legal Decoder Announces Investment and New CEO, Wolters Kluwer Adds Matter Summarization to TyMetrix 360°, and More

The fast-paced legal tech world is constantly evolving. At Legaltech News, we always try to bring you the latest news on hirings, product and feature releases, new integrations, legal tech mergers and ...
Scientific Research Publishing

Chen, H., Zhang, Y., Kalra, M.K., Lin, F., Chen, Y., Liao, P., et al. (2017) Low-Dose CT with a Residual Encoder-Decoder Convolutional Neural Network. IEEE Transactions on ...

ABSTRACT: Magnetic Resonance Imaging (MRI) is commonly applied to clinical diagnostics owing to its high soft-tissue contrast and lack of invasiveness. However, its sensitivity to noise, attributable ...
IEEE

AVNPSO: Hyperparameter Optimization of Encoder-Decoder Networks for Image Segmentation

Abstract: Image segmentation is crucial in many fields, but existing image segmentation models based on encoder-decoder networks are constrained by manual parameter tuning and the limited ...
Frontiers

AI-assisted anatomical structure recognition and segmentation via mamba-transformer architecture in abdominal ultrasound images

Background: Abdominal ultrasonography is a primary diagnostic tool for evaluating medical conditions within the abdominal cavity. Accurate determination of the relative locations of intra-abdominal ...
GitHub

Question about frozen encoder and decoder architecture in Figure 2

First of all, I'd like to commend the authors on the excellent work presented in SSS! I have a quick question regarding the model architecture, specifically related to the frozen image encoder and ...