IEEE

Research on Computer Vision Image Preprocessing and Target Detection Optimization Algorithm Driven by Fully Convolutional Neural Network

Abstract: In the field of computer vision, traditional object detection algorithms are constrained by their feature extraction mechanisms, making it difficult for detection accuracy to meet the ...
IEEE

Diagnosing and Improving Vector-Quantization-Based Blind Image Restoration

Abstract: Vector-Quantization (VQ) based discrete generative models are widely used to learn powerful high-quality (HQ) priors for blind image restoration (BIR). In this paper, we diagnose the ...
Nature

Microbiological Monitoring in Individually Ventilated Cage Systems

There exist many methods and strategies for monitoring rodent colonies for microbial agents. Several general principles are applicable when developing and assessing the efficacy of a microbiological ...
EurekAlert!

Sampling information online (IMAGE)

Once clicked, it's half believed – when we choose information ourselves, we are particularly inclined to believe it to be true. The image may only be used in the context of the press release "Why We ...
GitHub

Python bindings for the Transformer models implemented in C/C++ using GGML library.

Python bindings for the Transformer models implemented in C/C++ using GGML library. - jan-karsten-kuhnke/QUANTIZATION-GGUF-ctransformers ...
GitHub

MC-EM Diffusion Sampler for PET Image Reconstruction

This repo realizes the training of score function and image reconstruction, for both 2D demo and 3D real data. Requires PyBind11. This is a minimal CPU-based ray-tracing projector implemented in C++ ...