{"id":18049538,"url":"https://github.com/dalmia/machine-learning-paper-notes","last_synced_at":"2026-02-09T22:03:34.339Z","repository":{"id":106580062,"uuid":"132917866","full_name":"dalmia/machine-learning-paper-notes","owner":"dalmia","description":"This repository contains my notes for the research papers that I read for anyone to briefly glance over the details.","archived":false,"fork":false,"pushed_at":"2018-10-04T12:49:45.000Z","size":44,"stargazers_count":14,"open_issues_count":0,"forks_count":6,"subscribers_count":5,"default_branch":"master","last_synced_at":"2025-08-18T07:27:47.568Z","etag":null,"topics":["change-detection","computer-vision","convolutional-neural-networks","deep-learning","machine-learning","recurrent-neural-networks"],"latest_commit_sha":null,"homepage":null,"language":null,"has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/dalmia.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2018-05-10T15:14:25.000Z","updated_at":"2025-03-07T15:53:23.000Z","dependencies_parsed_at":"2023-07-09T05:03:41.619Z","dependency_job_id":null,"html_url":"https://github.com/dalmia/machine-learning-paper-notes","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/dalmia/machine-learning-paper-notes","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dalmia%2Fmachine-learning-paper-notes","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dalmia%2Fmachine-learning-paper-notes/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dalmia%2Fmachine-learning-paper-notes/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dalmia%2Fmachine-learning-paper-notes/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/dalmia","download_url":"https://codeload.github.com/dalmia/machine-learning-paper-notes/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dalmia%2Fmachine-learning-paper-notes/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":29283033,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-02-09T21:57:15.303Z","status":"ssl_error","status_checked_at":"2026-02-09T21:57:11.537Z","response_time":56,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.6:443 state=error: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["change-detection","computer-vision","convolutional-neural-networks","deep-learning","machine-learning","recurrent-neural-networks"],"created_at":"2024-10-30T21:08:01.343Z","updated_at":"2026-02-09T22:03:34.073Z","avatar_url":"https://github.com/dalmia.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"# machine-learning-paper-notes\nThis repository contains my notes for the research papers that I read since the creation of the repository for anyone to briefly glance over the details. The papers are arranged topic-wise:\n\n- [Computer Vision](#computer-vision)\n  - [Change Detection](https://github.com/dalmia/machine-learning-paper-notes/tree/master/computer-vision/change-detection)\n  - [Semantic Segmentation](https://github.com/dalmia/machine-learning-paper-notes/tree/master/computer-vision/semantic-segmentation)\n  - [Weakly supervised Semantic Segmentation](https://github.com/dalmia/machine-learning-paper-notes/tree/master/computer-vision/weakly-supervised-segmentation)\n\n## Computer Vision\n\n- **Change Detection**\n\n  - [Unsupervised Change Detection in Satellite Images Using Principal Component Analysis and k -Means Clustering](https://github.com/dalmia/machine-learning-paper-notes/blob/master/computer-vision/change-detection/Unsupervised%20Change%20Detection%20in%20Satellite%20Using%20PCA%20%2B%20kmeans.md) ([IEEE](https://ieeexplore.ieee.org/abstract/document/5196726/))\n  - [Automatic analysis of the difference image for unsupervised change detection](https://github.com/dalmia/machine-learning-paper-notes/blob/master/computer-vision/change-detection/Automatic%20analysis%20of%20the%20difference%20image%20for%20unsupervised%20change%20detection.md) ([IEEE](https://ieeexplore.ieee.org/document/843009/))\n  - [Change Detection in Satellite Images Using a Genetic Algorithm Approach](https://github.com/dalmia/machine-learning-paper-notes/blob/master/computer-vision/change-detection/Change%20Detection%20in%20Satellite%20Images%20Using%20a%20Genetic%20Algorithm%20Approach.md) ([IEEE](https://ieeexplore.ieee.org/document/5395684/))\n  - [Change Detection in Synthetic Aperture Radar Images Based on Deep Neural Networks](https://github.com/dalmia/machine-learning-paper-notes/blob/master/computer-vision/change-detection/Change%20Detection%20in%20Synthetic%20Aperture%20Radar%20Images%20Based%20on%20Deep%20Neural%20Networks.md) ([IEEE](https://ieeexplore.ieee.org/document/7120131/))\n  - [Recurrent Neural Networks to Correct Satellite Image Classification Maps](https://github.com/dalmia/machine-learning-paper-notes/blob/master/computer-vision/change-detection/Recurrent%20Neural%20Networks%20to%20Correct%20Satellite%20Image%20Classification.md) ([IEEE](https://ieeexplore.ieee.org/document/7938635))\n  - [Damage Detection from Aerial Images via Convolutional Neural Networks](https://github.com/dalmia/machine-learning-paper-notes/blob/master/computer-vision/change-detection/Damage%20Detection%20from%20Aerial%20Images%20via%20Convolutional%20Neural%20Networks.md) ([IEEE](https://ieeexplore.ieee.org/document/7986759/))\n\n\n- **Semantic Segmentation**\n  - [U-Net: Convolutional Networks for Biomedical Image Segmentation](https://github.com/dalmia/machine-learning-paper-notes/blob/master/computer-vision/semantic-segmentation/U-Net.md) ([arXiV](https://arxiv.org/abs/1505.04597), [Code](https://github.com/zhixuhao/unet))\n  - [V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation](https://github.com/dalmia/machine-learning-paper-notes/blob/master/computer-vision/semantic-segmentation/V-net.md)([arXiV](https://arxiv.org/abs/1606.04797), [Code](https://github.com/faustomilletari/VNet))\n  - [Rethinking Atrous Convolution for Semantic Image Segmentation](https://github.com/dalmia/machine-learning-paper-notes/blob/master/computer-vision/semantic-segmentation/DeepLabV3.md)([arXiV](https://arxiv.org/abs/1706.05587), [Code](https://github.com/bonlime/keras-deeplab-v3-plus))\n\n\n- **Weakly supervised Semantic Segmentation**\n   - [Learning deep structured network for weakly supervised change detection](https://github.com/dalmia/machine-learning-paper-notes/blob/master/computer-vision/change-detection/Learning%20deep%20structured%20network%20for%20weakly%20supervised%20change%20detection.md) ([arXiV](https://arxiv.org/abs/1606.02009))\n   - [From Image-level to Pixel-level Labeling with Convolutional Networks](https://github.com/dalmia/machine-learning-paper-notes/blob/master/computer-vision/weakly-supervised-segmentation/From%20Image-Level%20to%20Pixel-level%20Labeling%20with%20Convolutional%20Neural%20Networks.md) ([arXiV](https://arxiv.org/abs/1411.6228v3), [Code](https://github.com/ameya005/Deep-Segmentation))\n   - [Weakly Supervised Semantic Segmentation Based on Web Image Co-segmentation]() ([arXiV](https://arxiv.org/abs/1705.09052), [Code](https://github.com/ascust/wsscoseg))\n   - [Learning Pixel-level Semantic Affinity with Image-level Supervision\nfor Weakly Supervised Semantic Segmentation]() ([arXiV](https://arxiv.org/abs/1803.10464))\n   - [Feedback Neural Network for Weakly Supervised Geo-Semantic Segmentation]() ([arXiv](https://arxiv.org/abs/1612.02766))\n   - [Simple Does It: Weakly Supervised Instance and Semantic Segmentation]() ([arXiV](https://arxiv.org/abs/1603.07485))\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdalmia%2Fmachine-learning-paper-notes","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdalmia%2Fmachine-learning-paper-notes","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdalmia%2Fmachine-learning-paper-notes/lists"}