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Baseline correction using wavelets

MATLAB codes for "Sparse Bayesian Learning Approach for Baseline Correction"

A baseline correction method based on cubic spline smoothing

arPLS algorithm from "Baseline correction using asymmetrically reweighted penalized least squares smoothing"

A Python library of algorithms for the baseline correction of experimental data.

Intelligent background-correction algorithm for highly fluorescent sample in Raman spectroscopy

Sigfind is a MATLAB code packaged designed to automatically apply baseline corrections to FTIR analyses of OH in nominally anhydrous minerals

Especially useful for preprocessing of datasets like Raman spectra, infrared spectra, UV/Vis spectra, but also HPLC data and many other types of data. pyPreprocessing includes baseline correction, …

correct baseline for spectroscopy data with polynomial subtraction and asymmetric least square method

Single Underwater Image Enhancement and Color Restoration, which is Python implementation for a comprehensive review paper "An Experimental-based Review of Image Enhancement and Image Restoration M…

CAMixerSR: Only Details Need More “Attention” (CVPR 2024)

The code release of paper "AAAI Ultra-High-Definition Low-Light Image Enhancement: A Benchmark and Transformer-Based Method", AAAI 2023

Danfeng Hong, Lianru Gao, Jing Yao, Bing Zhang, Antonio Plaza, Jocelyn Chanussot. Graph Convolutional Networks for Hyperspectral Image Classification, IEEE Trans. Geosci. Remote Sens., 2021, 59(7):…

Simplifying camera trap image analysis with AI

This is official Pytorch implementation of "SuperFusion: A Versatile Image Registration and Fusion Network with Semantic Awareness"

Official implementation codes of the SF_UNet

[ACCV 2024 ] Official code for "DeBiFormer: Vision Transformer with Deformable Agent Bi-level Routing Attention"

This is the official repository for “Drone-based RGB-Infrared Cross-Modality Vehicle Detection via Uncertainty-Aware Learning” (IEEE T-CSVT 2022).

Multi-label classification based on timm.

PyTorch implementation of Transformer-based Transform Coding [ICLR 2022]

[CVPR 2021] Teachers Do More Than Teach: Compressing Image-to-Image Models (CAT)

[ACMMM 2021 Oral] Enhanced Invertible Encoding for Learned Image Compression

收录及复现的高光谱遥感图像分类模型

「C/C++学习+面试指南」一份涵盖大部分 C++ 程序员所需要掌握的知识。入门、进阶、深入、校招、社招，准备 C++ 学习& 面试，首选 CppGuide！

Multi-Reference Entropy Models for Learned Image Compression

The paper list about deep learning based image compression

Paper list of deep learning based image/video compression.