{ "id": 486636, "title": "Starting references and materials", "url": "/competitions/image-matching-challenge-2024/discussion/486636", "author_name": "Ravi Ramakrishnan", "post_date": "2024-03-25T19:14:14.744000", "votes": 52, "comment_count": 6, "views": 0, "content": "

Hello all,

\n

Wishing you all the best for the challenge. Hope the below handpicked reference materials help in easy and effective onboarding

\n

Previous competition versions

\n

Image Matching Challenge 2023

\n

Top voted kernels

\n
    \n
  1. https://www.kaggle.com/code/leonidkulyk/eda-imc-3d-plots-interactive-vis
    2. \n
  2. https://www.kaggle.com/code/eduardtrulls/imc-2023-submission-example
    3. \n
  3. https://www.kaggle.com/code/qi7axu/imc-2023-submission-example
    4. \n
  4. https://www.kaggle.com/code/jessevanderlinden/image-matching-data-discovery-and-sift-features
    5. \n
  5. https://www.kaggle.com/code/mpwolke/sfm-pycolmap-kulyk
    6. \n
\n

High scoring kernels

\n
    \n
  1. https://www.kaggle.com/code/alexanderveicht/imc2023-from-repo
    2. \n
  2. https://www.kaggle.com/code/maxchen303/imc2023-final-pub
    3. \n
  3. https://www.kaggle.com/code/socratis/multi-descriptors-magsac
    4. \n
\n

High scoring approaches and discussions

\n
    \n
  1. https://www.kaggle.com/competitions/image-matching-challenge-2023/discussion/417407 -- rank 1
    2. \n
  2. https://www.kaggle.com/competitions/image-matching-challenge-2023/discussion/416873 -- rank 2
    3. \n
  3. https://www.kaggle.com/competitions/image-matching-challenge-2023/discussion/416918 -- rank 3
    4. \n
  4. https://www.kaggle.com/competitions/image-matching-challenge-2023/discussion/416816 -- rank 4
    5. \n
  5. https://www.kaggle.com/competitions/image-matching-challenge-2023/discussion/417045 -- rank 5
    6. \n
  6. https://www.kaggle.com/competitions/image-matching-challenge-2023/discussion/427143 -- rank 7
    7. \n
  7. https://www.kaggle.com/competitions/image-matching-challenge-2023/discussion/416842 -- rank 9
    8. \n
  8. https://www.kaggle.com/competitions/image-matching-challenge-2023/discussion/420471 -- rank 12
    9. \n
\n

Image Matching Challenge 2022

\n

Top voted kernels

\n
    \n
  1. https://www.kaggle.com/code/cbeaud/imc-2022-kornia-score-0-725
    2. \n
  2. https://www.kaggle.com/code/remekkinas/detector-free-local-feature-matching-w-transformer
    3. \n
  3. https://www.kaggle.com/code/dschettler8845/image-matching-challenge-2022-eda
    4. \n
  4. https://www.kaggle.com/code/ammarali32/imc-2022-kornia-loftr-from-0-533-to-0-721
    5. \n
  5. https://www.kaggle.com/code/eduardtrulls/imc2022-training-data
    6. \n
  6. https://www.kaggle.com/code/radac98/public-baseline-dkm-0-667
    7. \n
\n

High scoring kernels

\n
    \n
  1. https://www.kaggle.com/code/gufanmingmie/imc-2022-final-ensemble
    2. \n
  2. https://www.kaggle.com/code/chankhavu/loftr-superglue-dkm-with-inspiration
    3. \n
  3. https://www.kaggle.com/code/will70917/imc-2022-209410736
    4. \n
  4. https://www.kaggle.com/code/chankhavu/two-stage-loftr-superglue-dkm
    5. \n
  5. https://www.kaggle.com/code/tmyok1984/imc2022-ensemble-with-dkm-roi
    6. \n
\n

High scoring approaches and discussions

\n
    \n
  1. https://www.kaggle.com/competitions/image-matching-challenge-2022/discussion/329131 -- rank 1
    2. \n
  2. https://www.kaggle.com/competitions/image-matching-challenge-2022/discussion/329317 -- rank 2
    3. \n
  3. https://www.kaggle.com/competitions/image-matching-challenge-2022/discussion/329540 -- rank 3
    4. \n
  4. https://www.kaggle.com/competitions/image-matching-challenge-2022/discussion/328798 -- rank 4
    5. \n
  5. https://www.kaggle.com/competitions/image-matching-challenge-2022/discussion/329334 -- rank 5
    6. \n
  6. https://www.kaggle.com/competitions/image-matching-challenge-2022/discussion/328805 -- rank 6
    7. \n
  7. https://www.kaggle.com/competitions/image-matching-challenge-2022/discussion/329015 -- rank 7
    8. \n
\n

Many thanks to the original content creators and all the best to the participants!
\nHappy learning!

", "messages": [ { "id": 2716014, "postDate": "2024-03-25T19:14:14.743Z", "content": "

Hello all,

\n

Wishing you all the best for the challenge. Hope the below handpicked reference materials help in easy and effective onboarding

\n

Previous competition versions

\n

Image Matching Challenge 2023

\n

Top voted kernels

\n
    \n
  1. https://www.kaggle.com/code/leonidkulyk/eda-imc-3d-plots-interactive-vis
    2. \n
  2. https://www.kaggle.com/code/eduardtrulls/imc-2023-submission-example
    3. \n
  3. https://www.kaggle.com/code/qi7axu/imc-2023-submission-example
    4. \n
  4. https://www.kaggle.com/code/jessevanderlinden/image-matching-data-discovery-and-sift-features
    5. \n
  5. https://www.kaggle.com/code/mpwolke/sfm-pycolmap-kulyk
    6. \n
\n

High scoring kernels

\n
    \n
  1. https://www.kaggle.com/code/alexanderveicht/imc2023-from-repo
    2. \n
  2. https://www.kaggle.com/code/maxchen303/imc2023-final-pub
    3. \n
  3. https://www.kaggle.com/code/socratis/multi-descriptors-magsac
    4. \n
\n

High scoring approaches and discussions

\n
    \n
  1. https://www.kaggle.com/competitions/image-matching-challenge-2023/discussion/417407 -- rank 1
    2. \n
  2. https://www.kaggle.com/competitions/image-matching-challenge-2023/discussion/416873 -- rank 2
    3. \n
  3. https://www.kaggle.com/competitions/image-matching-challenge-2023/discussion/416918 -- rank 3
    4. \n
  4. https://www.kaggle.com/competitions/image-matching-challenge-2023/discussion/416816 -- rank 4
    5. \n
  5. https://www.kaggle.com/competitions/image-matching-challenge-2023/discussion/417045 -- rank 5
    6. \n
  6. https://www.kaggle.com/competitions/image-matching-challenge-2023/discussion/427143 -- rank 7
    7. \n
  7. https://www.kaggle.com/competitions/image-matching-challenge-2023/discussion/416842 -- rank 9
    8. \n
  8. https://www.kaggle.com/competitions/image-matching-challenge-2023/discussion/420471 -- rank 12
    9. \n
\n

Image Matching Challenge 2022

\n

Top voted kernels

\n
    \n
  1. https://www.kaggle.com/code/cbeaud/imc-2022-kornia-score-0-725
    2. \n
  2. https://www.kaggle.com/code/remekkinas/detector-free-local-feature-matching-w-transformer
    3. \n
  3. https://www.kaggle.com/code/dschettler8845/image-matching-challenge-2022-eda
    4. \n
  4. https://www.kaggle.com/code/ammarali32/imc-2022-kornia-loftr-from-0-533-to-0-721
    5. \n
  5. https://www.kaggle.com/code/eduardtrulls/imc2022-training-data
    6. \n
  6. https://www.kaggle.com/code/radac98/public-baseline-dkm-0-667
    7. \n
\n

High scoring kernels

\n
    \n
  1. https://www.kaggle.com/code/gufanmingmie/imc-2022-final-ensemble
    2. \n
  2. https://www.kaggle.com/code/chankhavu/loftr-superglue-dkm-with-inspiration
    3. \n
  3. https://www.kaggle.com/code/will70917/imc-2022-209410736
    4. \n
  4. https://www.kaggle.com/code/chankhavu/two-stage-loftr-superglue-dkm
    5. \n
  5. https://www.kaggle.com/code/tmyok1984/imc2022-ensemble-with-dkm-roi
    6. \n
\n

High scoring approaches and discussions

\n
    \n
  1. https://www.kaggle.com/competitions/image-matching-challenge-2022/discussion/329131 -- rank 1
    2. \n
  2. https://www.kaggle.com/competitions/image-matching-challenge-2022/discussion/329317 -- rank 2
    3. \n
  3. https://www.kaggle.com/competitions/image-matching-challenge-2022/discussion/329540 -- rank 3
    4. \n
  4. https://www.kaggle.com/competitions/image-matching-challenge-2022/discussion/328798 -- rank 4
    5. \n
  5. https://www.kaggle.com/competitions/image-matching-challenge-2022/discussion/329334 -- rank 5
    6. \n
  6. https://www.kaggle.com/competitions/image-matching-challenge-2022/discussion/328805 -- rank 6
    7. \n
  7. https://www.kaggle.com/competitions/image-matching-challenge-2022/discussion/329015 -- rank 7
    8. \n
\n

Many thanks to the original content creators and all the best to the participants!
\nHappy learning!

", "rawMarkdown": "Hello all,\n\nWishing you all the best for the challenge. Hope the below handpicked reference materials help in easy and effective onboarding\n\n# Previous competition versions\n## [Image Matching Challenge 2023](https://www.kaggle.com/competitions/image-matching-challenge-2023)\n### Top voted kernels\n1. https://www.kaggle.com/code/leonidkulyk/eda-imc-3d-plots-interactive-vis\n2. https://www.kaggle.com/code/eduardtrulls/imc-2023-submission-example\n3. https://www.kaggle.com/code/qi7axu/imc-2023-submission-example\n4. https://www.kaggle.com/code/jessevanderlinden/image-matching-data-discovery-and-sift-features\n5. https://www.kaggle.com/code/mpwolke/sfm-pycolmap-kulyk\n\n### High scoring kernels\n1. https://www.kaggle.com/code/alexanderveicht/imc2023-from-repo\n2. https://www.kaggle.com/code/maxchen303/imc2023-final-pub\n3. https://www.kaggle.com/code/socratis/multi-descriptors-magsac\n\n### High scoring approaches and discussions\n1. https://www.kaggle.com/competitions/image-matching-challenge-2023/discussion/417407 -- rank 1\n2. https://www.kaggle.com/competitions/image-matching-challenge-2023/discussion/416873 -- rank 2\n3. https://www.kaggle.com/competitions/image-matching-challenge-2023/discussion/416918 -- rank 3\n4. https://www.kaggle.com/competitions/image-matching-challenge-2023/discussion/416816 -- rank 4\n5. https://www.kaggle.com/competitions/image-matching-challenge-2023/discussion/417045 -- rank 5\n6. https://www.kaggle.com/competitions/image-matching-challenge-2023/discussion/427143 -- rank 7\n7. https://www.kaggle.com/competitions/image-matching-challenge-2023/discussion/416842 -- rank 9\n8. https://www.kaggle.com/competitions/image-matching-challenge-2023/discussion/420471 -- rank 12\n\n## [Image Matching Challenge 2022](https://www.kaggle.com/competitions/image-matching-challenge-2022)\n### Top voted kernels\n1. https://www.kaggle.com/code/cbeaud/imc-2022-kornia-score-0-725\n2. https://www.kaggle.com/code/remekkinas/detector-free-local-feature-matching-w-transformer\n3. https://www.kaggle.com/code/dschettler8845/image-matching-challenge-2022-eda\n4. https://www.kaggle.com/code/ammarali32/imc-2022-kornia-loftr-from-0-533-to-0-721\n5. https://www.kaggle.com/code/eduardtrulls/imc2022-training-data\n6. https://www.kaggle.com/code/radac98/public-baseline-dkm-0-667\n\n### High scoring kernels\n1. https://www.kaggle.com/code/gufanmingmie/imc-2022-final-ensemble\n2. https://www.kaggle.com/code/chankhavu/loftr-superglue-dkm-with-inspiration\n3. https://www.kaggle.com/code/will70917/imc-2022-209410736\n4. https://www.kaggle.com/code/chankhavu/two-stage-loftr-superglue-dkm\n5. https://www.kaggle.com/code/tmyok1984/imc2022-ensemble-with-dkm-roi\n\n### High scoring approaches and discussions\n1. https://www.kaggle.com/competitions/image-matching-challenge-2022/discussion/329131 -- rank 1\n2. https://www.kaggle.com/competitions/image-matching-challenge-2022/discussion/329317 -- rank 2\n3. https://www.kaggle.com/competitions/image-matching-challenge-2022/discussion/329540 -- rank 3\n4. https://www.kaggle.com/competitions/image-matching-challenge-2022/discussion/328798 -- rank 4\n5. https://www.kaggle.com/competitions/image-matching-challenge-2022/discussion/329334 -- rank 5\n6. https://www.kaggle.com/competitions/image-matching-challenge-2022/discussion/328805 -- rank 6\n7. https://www.kaggle.com/competitions/image-matching-challenge-2022/discussion/329015 -- rank 7\n\nMany thanks to the original content creators and all the best to the participants! \nHappy learning!\n", "votes": 51 }, { "id": 2748019, "postDate": "2024-04-12T07:53:55.123Z", "content": "

Appreciate your kindly compilation @ravi20076 really helps!

", "rawMarkdown": "Appreciate your kindly compilation @ravi20076 really helps!", "votes": 1 }, { "id": 2745633, "postDate": "2024-04-10T18:17:59.163Z", "content": "

Thank you for sharing Ravi, this is very useful!

", "rawMarkdown": "Thank you for sharing Ravi, this is very useful!", "votes": 1 }, { "id": 2718607, "postDate": "2024-03-27T07:01:17.403Z", "content": "

Thanks @ravi20076! Appreciate the starting point

", "rawMarkdown": "Thanks @ravi20076! Appreciate the starting point", "votes": 1 }, { "id": 2717718, "postDate": "2024-03-26T18:03:25.690Z", "rawMarkdown": "", "isDeleted": true }, { "id": 2725584, "postDate": "2024-03-31T16:58:15.200Z", "content": "

Thank you so much for sharing this.

", "rawMarkdown": "Thank you so much for sharing this.", "votes": 1 }, { "id": 2717735, "postDate": "2024-03-26T18:12:52.337Z", "content": "

Thanks for all the references!

", "rawMarkdown": "Thanks for all the references! ", "votes": 1 } ], "comments": [ { "id": 2748019, "author_name": "Lamal", "author_url": "", "post_date": "2024-04-12T07:53:55.123000", "content": "

Appreciate your kindly compilation @ravi20076 really helps!

", "votes": 1, "replies": [] }, { "id": 2745633, "author_name": "Danial Zakaria", "author_url": "", "post_date": "2024-04-10T18:17:59.163000", "content": "

Thank you for sharing Ravi, this is very useful!

", "votes": 1, "replies": [] }, { "id": 2718607, "author_name": "Taizhuo Tang", "author_url": "", "post_date": "2024-03-27T07:01:17.403000", "content": "

Thanks @ravi20076! Appreciate the starting point

", "votes": 1, "replies": [] }, { "id": 2717718, "author_name": "", "author_url": "", "post_date": "2024-03-26T18:03:25.690000", "content": "", "votes": 0, "replies": [] }, { "id": 2725584, "author_name": "Param Thakkar", "author_url": "", "post_date": "2024-03-31T16:58:15.200000", "content": "

Thank you so much for sharing this.

", "votes": 1, "replies": [] }, { "id": 2717735, "author_name": "Sergey Surguchev", "author_url": "", "post_date": "2024-03-26T18:12:52.337000", "content": "

Thanks for all the references!

", "votes": 1, "replies": [] } ], "raw_markdown_by_id": { "2716014": "Hello all,\n\nWishing you all the best for the challenge. Hope the below handpicked reference materials help in easy and effective onboarding\n\n# Previous competition versions\n## [Image Matching Challenge 2023](https://www.kaggle.com/competitions/image-matching-challenge-2023)\n### Top voted kernels\n1. https://www.kaggle.com/code/leonidkulyk/eda-imc-3d-plots-interactive-vis\n2. https://www.kaggle.com/code/eduardtrulls/imc-2023-submission-example\n3. https://www.kaggle.com/code/qi7axu/imc-2023-submission-example\n4. https://www.kaggle.com/code/jessevanderlinden/image-matching-data-discovery-and-sift-features\n5. https://www.kaggle.com/code/mpwolke/sfm-pycolmap-kulyk\n\n### High scoring kernels\n1. https://www.kaggle.com/code/alexanderveicht/imc2023-from-repo\n2. https://www.kaggle.com/code/maxchen303/imc2023-final-pub\n3. https://www.kaggle.com/code/socratis/multi-descriptors-magsac\n\n### High scoring approaches and discussions\n1. https://www.kaggle.com/competitions/image-matching-challenge-2023/discussion/417407 -- rank 1\n2. https://www.kaggle.com/competitions/image-matching-challenge-2023/discussion/416873 -- rank 2\n3. https://www.kaggle.com/competitions/image-matching-challenge-2023/discussion/416918 -- rank 3\n4. https://www.kaggle.com/competitions/image-matching-challenge-2023/discussion/416816 -- rank 4\n5. https://www.kaggle.com/competitions/image-matching-challenge-2023/discussion/417045 -- rank 5\n6. https://www.kaggle.com/competitions/image-matching-challenge-2023/discussion/427143 -- rank 7\n7. https://www.kaggle.com/competitions/image-matching-challenge-2023/discussion/416842 -- rank 9\n8. https://www.kaggle.com/competitions/image-matching-challenge-2023/discussion/420471 -- rank 12\n\n## [Image Matching Challenge 2022](https://www.kaggle.com/competitions/image-matching-challenge-2022)\n### Top voted kernels\n1. https://www.kaggle.com/code/cbeaud/imc-2022-kornia-score-0-725\n2. https://www.kaggle.com/code/remekkinas/detector-free-local-feature-matching-w-transformer\n3. https://www.kaggle.com/code/dschettler8845/image-matching-challenge-2022-eda\n4. https://www.kaggle.com/code/ammarali32/imc-2022-kornia-loftr-from-0-533-to-0-721\n5. https://www.kaggle.com/code/eduardtrulls/imc2022-training-data\n6. https://www.kaggle.com/code/radac98/public-baseline-dkm-0-667\n\n### High scoring kernels\n1. https://www.kaggle.com/code/gufanmingmie/imc-2022-final-ensemble\n2. https://www.kaggle.com/code/chankhavu/loftr-superglue-dkm-with-inspiration\n3. https://www.kaggle.com/code/will70917/imc-2022-209410736\n4. https://www.kaggle.com/code/chankhavu/two-stage-loftr-superglue-dkm\n5. https://www.kaggle.com/code/tmyok1984/imc2022-ensemble-with-dkm-roi\n\n### High scoring approaches and discussions\n1. https://www.kaggle.com/competitions/image-matching-challenge-2022/discussion/329131 -- rank 1\n2. https://www.kaggle.com/competitions/image-matching-challenge-2022/discussion/329317 -- rank 2\n3. https://www.kaggle.com/competitions/image-matching-challenge-2022/discussion/329540 -- rank 3\n4. https://www.kaggle.com/competitions/image-matching-challenge-2022/discussion/328798 -- rank 4\n5. https://www.kaggle.com/competitions/image-matching-challenge-2022/discussion/329334 -- rank 5\n6. https://www.kaggle.com/competitions/image-matching-challenge-2022/discussion/328805 -- rank 6\n7. https://www.kaggle.com/competitions/image-matching-challenge-2022/discussion/329015 -- rank 7\n\nMany thanks to the original content creators and all the best to the participants! \nHappy learning!\n", "2748019": "Appreciate your kindly compilation @ravi20076 really helps!", "2745633": "Thank you for sharing Ravi, this is very useful!", "2718607": "Thanks @ravi20076! Appreciate the starting point", "2717718": "", "2725584": "Thank you so much for sharing this.", "2717735": "Thanks for all the references! " } }