Latest Articles for Deep Learning

AXE improves model performance while minimizing overflow in accumulator-aware quantization.

A new approach for clearer visualization and understanding of deep learning models.

This study benchmarks DG algorithms to tackle domain shift in medical image analysis.

A new method enhances understanding of CNN features and decision-making.

Introducing a new method to improve deep learning models by reducing overfitting.

New approaches improve modeling of physical behaviors in varying geometries.

CAMOT improves multi-object tracking by estimating camera angles and depths.

TensorSocket improves deep learning training efficiency through shared data loading.

Examining the energy use of AI models in continual learning for sustainability.

New tool ODiMO improves DNN performance on edge hardware.

New methods speed up video encoding and decoding.

Zorro functions provide smooth solutions for enhanced neural network performance.

A new loss function boosts audio quality by aligning phase and magnitude.

POMONAG improves architecture search with a focus on multiple objectives for better efficiency.

Optimizing DNNs with power-of-two quantization for resource-limited devices.

AUCSeg improves segmentation by addressing class imbalance in image processing.

A new method enhances uncertainty measurement in deep neural networks with lower memory use.

A new method enhances segmentation accuracy by integrating shape and intensity in medical images.

Innovative use of LUTs enhances FPGA performance for deep learning tasks.

Exploring the integration of deep learning with Bayesian methods to improve data estimation.

This article compares U-Net and transformer-based models for microscopy image segmentation.

MambaJSCC integrates coding techniques for better wireless image communication.

A new method improves computer model efficiency while maintaining performance.

Introducing MG-Net, a framework to improve quantum optimization techniques through deep learning.

A new method enhances detection accuracy in medical imaging.

This study focuses on enhancing image quality through RAW data restoration methods.

New method enhances image matching from various camera spectra.

This article discusses improving computer predictions in videos by straightening image sequences.

Explore local learning methods transforming neural network training.

Introducing a method to enhance privacy without sacrificing model accuracy.

Exploring a fresh approach to improve semantic segmentation using compression principles.

A new approach enhances the effectiveness of deep learning in solving PDEs.

Research highlights how feature learning improves neural network performance effectively.

A look at how different representations in AI improve understanding.

A look into how CNNs interpret images and their features.

SimCLR enhances model training using unlabeled data in vision tasks.

Learn how superpixel segmentation makes image analysis easier for machines.

Learn how Layer-Adaptive State Pruning improves deep learning models.

Combining RGB and depth data enhances part recognition in manufacturing.

Understanding how deep learning models handle uncertainty is crucial for accurate predictions.