Latest Articles for Deep Learning

A new approach enhances CNN training timing and efficiency.

New methods improve protein structure analysis and classification accuracy.

A new method using circular vectors improves efficiency in multi-label tasks.

ProtoSAM offers effective segmentation with minimal data, showing promise in medical imaging.

A new model combines ConvNets and Transformers for improved image classification.

A novel approach improves clarity and efficiency in microscopy deconvolution.

An overview of deep learning methods for 3D modeling from images.

New method improves accuracy in aligning images over time.

A method that enhances training efficiency in medical image analysis.

This study examines how initialization affects the finetuning of pretrained models using LoRA.

A new method enhances accuracy in prostate cancer tumor segmentation using PET scans.

A new approach to improve efficiency in pattern recognition tasks.

Learn how random seed selection impacts AI model performance and reliability.

A mobile robot learns to recognize voices in noisy environments for practical applications.

New models help developers, but backdoor attacks pose serious security risks.

A look into analog deep learning's potential benefits and challenges in artificial intelligence.

This article discusses new methods improving deep learning performance using nonlocal derivatives.

A new approach improves realism and variety in generated images using deep learning.

A new tool enhances segmentation accuracy for 7T MRI brain images.

FastSAM-3DSlicer simplifies 3D segmentation in medical images for improved diagnosis.

CoSIGN offers rapid and effective solutions for image restoration challenges.

Examining the vulnerability of neural networks to small input changes.

A two-stage approach improves the accuracy of brain metastases segmentation using MRI.

A new method to select data augmentations improves model performance on time series tasks.

Examining adversarial attacks and model robustness in semantic segmentation.

A new method enhances the security of deep learning models against hidden threats.

A new method enhances tumor detection accuracy using weakly supervised learning techniques.

New methods improve accuracy in medical image segmentation across varied data sources.

ConvBench offers a new way to assess convolution algorithm performance effectively.

This research aims to clarify the mechanics of GCP and Riemannian metrics.

New methods improve genetic operators in evolutionary algorithms using deep learning.

Introducing a new method for improving light field image resolution.

Tiled Bit Networks optimize deep learning models for better efficiency and performance.

Relational Representation Distillation improves model efficiency and accuracy in knowledge transfer.

A new weight generator improves neural network training efficiency and quality.

Examining the assumptions in deep learning optimization methods and their real-world implications.

Introducing NAMER, a new method for recognizing handwritten math expressions with improved speed and accuracy.

MCU-MixQ enhances AI model performance on microcontrollers by optimizing resource use.

This article examines how embedding initialization affects transformer model performance.

A novel pooling method enhances AI for better cancer detection.