The Verge

Nvidia announces DLSS 4.5 with 6x Frame Generation and improved image quality

All RTX owners will get DLSS 4.5 model and image quality improvements today. All RTX owners will get DLSS 4.5 model and image quality improvements today. is a senior editor and author of Notepad, who ...
cbswatchmagazine

Master ComfyUI AI Image Generation on AMD RDNA 4 GPU With ROCm 7.1.1 for Windows

With the debut of ROCm 7.1.1, RDNA 4 users can now fully harness their GPUs for AI tasks on Windows, a significant step forward from previous Linux-only support. Previously, RDNA 4 users had to rely ...
IEEE

Image Classification Model Based on Contrastive Learning With Dynamic Adaptive Loss

Abstract: As one of the core tasks in vision recognition, image classification is widely used in various scenarios. Most existing mainstream image classification models use the Convolutional Neural ...
IEEE

MUSCLE: A New Perspective to Multi-scale Fusion for Medical Image Classification based on the Theory of Evidence

Abstract: In the field of medical image analysis, medical image classification is one of the most fundamental and critical tasks. Current researches often rely on the off-the-shelf backbone networks ...
GitHub

NVidia GPU cards with architectures later than Turing do not properly infer image classification when using transpiled/cached models. This requires updating of Tensorflow to 2. ...

Current release of ML.Net is fixed to Tensorflow 2.3.1 with CUDA and Cudnn support at 10. and 7.6 respectively. Models trained with this set up work natively with Turing based cards. Newer GPU cards ...
GitHub

A Fast Dense Spectral-Spatial Convolution Network Framework for Hyperspectral Images Classification

If you find FDSSC useful in your research, please consider citing. Chicago/Turabian Style: Wang, Wenju; Dou, Shuguang; Jiang, Zhongmin; Sun, Liujie. 2018. "A Fast Dense Spectral–Spatial Convolution ...