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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
A Change Detection Repo Standing on the Shoulders of Giants
| Date | Stars |
|---|---|
| 2026-07-24 | 879 |
| 2026-07-25 | 879 |
| 2026-07-28 | 879 |
| 2026-07-30 | 879 |
| 2026-08-06 | 879 |
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<div align="center"> <img src="resources/opencd-logo.png" width="600"/> </div> ------ <font size=4><div align='center' > [[🤗Paper](https://arxiv.org/abs/2407.15317)] | [[🤗Code](https://github.com/likyoo/open-cd)] | [[🤗Checkpoint](https://huggingface.co/likyoo/Open-CD_Model_Zoo)] | [[🤗Video](https://www.youtube.com/watch?v=6Yt9g-vS_FU&t=4s)]</div></font> ## Introduction Open-CD is an open source change detection toolbox based on a series of open source general vision task tools. ## News - 7/25/2025 - Open-CD Technical Report is accepted by ACMMM 2025. 🎉 - 4/11/2025 - [MTKD](https://github.com/circleLZY/MTKD-CD) method and [JL1-CD](https://github.com/circleLZY/MTKD-CD) dataset are supported. Open-CD Technical Report is updated to v1.1. - 7/23/2024 - **Open-CD Technical Report v1.0 is released on [arXiv](https://arxiv.org/abs/2407.15317), thanks to all contributors! Feel free to join us!** 💥💥💥 - 6/29/2024 - [ChangeStar](https://github.com/Z-Zheng/ChangeStar) and [FarSeg](https://github.com/Z-Zheng/FarSeg) are supported. - 6/20/2024 - We launch the **[Open-CD Technical Report Plan](https://github.com/likyoo/open-cd/tree/main/projects/open-cd_technical_report)**, don't hesitate to join us!!! 💥💥💥 - 6/17/2024 - [CGNet](https://github.com/ChengxiHAN/CGNet-CD) is supported. - 2/10/2024 - Open-CD is upgraded to v1.1.0. [BAN](https://github.com/likyoo/BAN), [TTP](https://github.com/KyanChen/TTP) and [LightCDNet](https://github.com/NightSongs/LightCDNet) is supported. The inference API is added. - 4/21/2023 - Open-CD v1.0.0 is released in 1.x branch, based on OpenMMLab 2.0 ! PyTorch 2.0 is also supported ! Enjoy it ! - 3/14/2023 - Open-CD is upgraded to v0.0.3. Semantic Change Detection (SCD) is supported ! - 11/17/2022 - Open-CD is upgraded to v0.0.2, requiring a higher version of the MMSegmentation dependency. - 9/28/2022 - The code, pre-trained models and logs of [ChangerEx](https://github.com/likyoo/open-cd/tree/main/configs/changer) are available. :yum: - 9/20/2022 - Our paper [Changer: Feature Interaction is What You Need for Change Detection](https://arxiv.org/abs/2209.08290) is available! - 7/30/2022 - Open-CD is publicly available! ## Benchmark and model zoo Supported toolboxes: - [x] [OpenMMLab Toolkits](https://github.com/open-mmlab) - [x] [pytorch-image-models](https://github.com/rwightman/pytorch-image-models) - [ ] ... Supported change detection model: (_The code of some models are borrowed directly from their official repositories._) - [x] [FC-EF (ICIP'2018)](configs/fcsn) - [x] [FC-Siam-diff (ICIP'2018)](configs/fcsn) - [x] [FC-Siam-conc (ICIP'2018)](configs/fcsn) - [x] [STANet (RS'2020)](configs/stanet) - [x] [IFN (ISPRS'2020)](configs/ifn) - [x] [SNUNet (GRSL'2021)](configs/snunet) - [x] [BiT (TGRS'2021)](configs/bit) - [x] [ChangeStar (ICCV'2021)](configs/changestar) - [x] [ChangeFormer (IGARSS'22)](configs/changeformer) - [x] [TinyCD (NCA'2023)](configs/tinycd) - [x] [Changer (TGRS'2023)](configs/changer) - [x] [HANet (JSTARS'2023)](configs/hanet) - [x] [TinyCDv2 (Under Review)](configs/tinycd_v2) - [x] [LightCDNet (GRSL'2023)](configs/lightcdnet) - [x] [CGNet (JSTARS'2023)](configs/cgnet) - [x] [BAN (TGRS'2024)](configs/ban) - [x] [TTP (arXiv'2023)](configs/ttp) - [x] [MTKD (arXiv'2025)](configs/mtkd) - [ ] ... Supported datasets: | [Descriptions](https://github.com/wenhwu/awesome-remote-sensing-change-detection) - [x] [LEVIR-CD](https://justchenhao.github.io/LEVIR/) - [x] [WHU-CD](https://study.rsgis.whu.edu.cn/pages/download/building_dataset.html) - [x] [S2Looking](https://github.com/S2Looking/Dataset) - [x] [SVCD](https://drive.google.com/file/d/1GX656JqqOyBi_Ef0w65kDGVto-nHrNs9/edit) - [x] [DSIFN](https://github.com/GeoZcx/A-deeply-supervised-image-fusion-network-for-change-detection-in-remote-sensing-images/tree/master/dataset) - [x] [CLCD](https://github.com/liumency/CropLand-CD) - [x] [RSIPAC](https://engine.piesat.cn/ai/autolearning/index.html#/dataset/detail?key=8f6c7645-e60f-42ce-9af3-2c66e95cf
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:a48993f0e1cd8387, topic:deep-learning, topic:pytorch
matched fp:a48993f0e1cd8387, topic:transformer, readme:technical report