ICCV 2025 论文和开源项目合集

Code and data (Incidents Dataset) for ECCV 2020 Paper "Detecting natural disasters, damage, and incidents in the wild".

Techniques for deep learning with satellite & aerial imagery

Machine learning for transportation data imputation and prediction.

周志华《机器学习》又称西瓜书是一本较为全面的书籍，书中详细介绍了机器学习领域不同类型的算法(例如：监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等)，记录了本人在学习过程中的理解思路与扩展知识点，希望对新人阅读西瓜书有所帮助！

Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)

This repository collects pan-sharpening methods, codes, and datasets.

Awesome Self-supervised papers in CV, NLP, Graph, Recommendation, ML and so on.

image registration related books, papers, videos, and toolboxes

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

Visual Tracking Paper List

Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

🦓<->🦒 🌃<->🌆 A collection of image to image papers with code (constantly updating)

A list of hyperspectral image super-solution resources collected by Junjun Jiang