We asked participants to share their BirdCLEF 2022 attempt with the scientific community through submitting a working note to the CLEF 2022 conference. Five teams followed our call for papers, and we reviewed and rated each one of them. I am happy to announce the two best working notes, which will be awarded with $2,500 in GCP credits each:
\nM. V. Conde & U.-J. Choi: Few-shot Long-Tailed Bird Audio Recognition, Team \"Golden birds\", Download preprint
\nA. Miyaguchi, J. Yu, B. Cheungvivatpant, D. Dudley & A. Swain: Motif Mining and Unsupervised Representation Learning for BirdCLEF 2022, Team \"DS@GT\"
\nThe three remaining (also very good) working note submissions are (in no particular order):
\nA. Sampathkumar & D. Kowerko: TUC Media Computing at BirdCLEF 2022: Strategies in\nidentifying bird sounds in a complex acoustic environment, Team \"Arunodhayan\"
\nE. Martynov & Y. Uematsu: Dealing with Class Imbalance in Bird Sound Classification, Team \"UEMU & slime\"
\nS. Krishnan, P. Khandelwal & R. Garg: Bird Species Classification: One Step at a Time
\nI will post links to the published PDFs once the CLEF 2022 proceedings have been released in September.
\nCongratulations and thanks again to everyone who participated and all the teams who went the extra mile to submit a working note!
", "messages": [ { "id": "1834916", "postDate": "06/27/2022 10:05:19", "content": "We asked participants to share their BirdCLEF 2022 attempt with the scientific community through submitting a working note to the CLEF 2022 conference. Five teams followed our call for papers, and we reviewed and rated each one of them. I am happy to announce the two best working notes, which will be awarded with $2,500 in GCP credits each:
\nM. V. Conde & U.-J. Choi: Few-shot Long-Tailed Bird Audio Recognition, Team \"Golden birds\", Download preprint
\nA. Miyaguchi, J. Yu, B. Cheungvivatpant, D. Dudley & A. Swain: Motif Mining and Unsupervised Representation Learning for BirdCLEF 2022, Team \"DS@GT\"
\nThe three remaining (also very good) working note submissions are (in no particular order):
\nA. Sampathkumar & D. Kowerko: TUC Media Computing at BirdCLEF 2022: Strategies in\nidentifying bird sounds in a complex acoustic environment, Team \"Arunodhayan\"
\nE. Martynov & Y. Uematsu: Dealing with Class Imbalance in Bird Sound Classification, Team \"UEMU & slime\"
\nS. Krishnan, P. Khandelwal & R. Garg: Bird Species Classification: One Step at a Time
\nI will post links to the published PDFs once the CLEF 2022 proceedings have been released in September.
\nCongratulations and thanks again to everyone who participated and all the teams who went the extra mile to submit a working note!
", "rawMarkdown": "We asked participants to share their BirdCLEF 2022 attempt with the scientific community through submitting a working note to the CLEF 2022 conference. Five teams followed our [call for papers](https://www.kaggle.com/competitions/birdclef-2022/discussion/307744), and we reviewed and rated each one of them. I am happy to announce the two best working notes, which will be awarded with $2,500 in GCP credits each:\n\nM. V. Conde & U.-J. Choi: **Few-shot Long-Tailed Bird Audio Recognition**, Team \"Golden birds\", [Download preprint](https://arxiv.org/abs/2206.11260)\n\nA. Miyaguchi, J. Yu, B. Cheungvivatpant, D. Dudley & A. Swain: **Motif Mining and Unsupervised Representation Learning for BirdCLEF 2022**, Team \"DS@GT\"\n\nThe three remaining (also very good) working note submissions are (in no particular order):\n\nA. Sampathkumar & D. Kowerko: **TUC Media Computing at BirdCLEF 2022: Strategies in\nidentifying bird sounds in a complex acoustic environment**, Team \"Arunodhayan\"\n\nE. Martynov & Y. Uematsu: **Dealing with Class Imbalance in Bird Sound Classification**, Team \"UEMU & slime\"\n\nS. Krishnan, P. Khandelwal & R. Garg: **Bird Species Classification: One Step at a Time**\n\nI will post links to the published PDFs once the CLEF 2022 proceedings have been released in September.\n\nCongratulations and thanks again to everyone who participated and all the teams who went the extra mile to submit a working note!", "votes": null }, { "id": "1835667", "postDate": "06/28/2022 01:48:10", "content": "this is really great work. Congrats for the winner. And, kudos to see other good papers !!
", "rawMarkdown": "this is really great work. Congrats for the winner. And, kudos to see other good papers !!", "votes": null }, { "id": "1836329", "postDate": "06/28/2022 14:36:25", "content": "Congratulations to the winners:
\n(Golden Birds team): M. V. Conde & U.-J. Choi: Few-shot Long-Tailed Bird Audio Recognition.
\n(Team \"DS@GT) A. Miyaguchi, J. Yu, B. Cheungvivatpant, D. Dudley & A. Swain.
\n(Team \"Arunodhayan\") A. Sampathkumar & D. Kowerko.
\n(Team \"UEMU & slime\") E. Martynov & Y. Uematsu
\nS. Krishnan, P. Khandelwal & R. Garg
\nThank you all and the participants of BirdCLEF2022 for the incomparable contribution to the scientific community.
\nMy best regards,
\nMarília Prata.
", "rawMarkdown": "Congratulations to the winners:\n\n(Golden Birds team): M. V. Conde & U.-J. Choi: Few-shot Long-Tailed Bird Audio Recognition.\n\n(Team \"DS@GT) A. Miyaguchi, J. Yu, B. Cheungvivatpant, D. Dudley & A. Swain.\n\n(Team \"Arunodhayan\") A. Sampathkumar & D. Kowerko.\n\n(Team \"UEMU & slime\") E. Martynov & Y. Uematsu\n\nS. Krishnan, P. Khandelwal & R. Garg\n\nThank you all and the participants of BirdCLEF2022 for the incomparable contribution to the scientific community.\n\nMy best regards,\n\nMarília Prata.", "votes": null }, { "id": "2641846", "postDate": "02/07/2024 17:50:30", "content": "Congrats to the winners. Amazing challenge and good solutions.
", "rawMarkdown": "Congrats to the winners. Amazing challenge and good solutions.", "votes": null }, { "id": "2894512", "postDate": "06/28/2024 14:39:32", "content": "loved the work
", "rawMarkdown": "loved the work", "votes": null } ], "comments": [ { "id": 1835667, "author_name": "stitch", "author_url": "", "post_date": "06/28/2022 01:48:10", "content": "this is really great work. Congrats for the winner. And, kudos to see other good papers !!
", "votes": null, "replies": [] }, { "id": 1836329, "author_name": "mpwolke", "author_url": "", "post_date": "06/28/2022 14:36:25", "content": "Congratulations to the winners:
\n(Golden Birds team): M. V. Conde & U.-J. Choi: Few-shot Long-Tailed Bird Audio Recognition.
\n(Team \"DS@GT) A. Miyaguchi, J. Yu, B. Cheungvivatpant, D. Dudley & A. Swain.
\n(Team \"Arunodhayan\") A. Sampathkumar & D. Kowerko.
\n(Team \"UEMU & slime\") E. Martynov & Y. Uematsu
\nS. Krishnan, P. Khandelwal & R. Garg
\nThank you all and the participants of BirdCLEF2022 for the incomparable contribution to the scientific community.
\nMy best regards,
\nMarília Prata.
", "votes": null, "replies": [] }, { "id": 2641846, "author_name": "smitthakore", "author_url": "", "post_date": "02/07/2024 17:50:30", "content": "Congrats to the winners. Amazing challenge and good solutions.
", "votes": null, "replies": [] }, { "id": 2894512, "author_name": "janeshvarsivakumar", "author_url": "", "post_date": "06/28/2024 14:39:32", "content": "loved the work
", "votes": null, "replies": [] } ], "raw_markdown_by_id": { "1834916": "We asked participants to share their BirdCLEF 2022 attempt with the scientific community through submitting a working note to the CLEF 2022 conference. Five teams followed our [call for papers](https://www.kaggle.com/competitions/birdclef-2022/discussion/307744), and we reviewed and rated each one of them. I am happy to announce the two best working notes, which will be awarded with $2,500 in GCP credits each:\n\nM. V. Conde & U.-J. Choi: **Few-shot Long-Tailed Bird Audio Recognition**, Team \"Golden birds\", [Download preprint](https://arxiv.org/abs/2206.11260)\n\nA. Miyaguchi, J. Yu, B. Cheungvivatpant, D. Dudley & A. Swain: **Motif Mining and Unsupervised Representation Learning for BirdCLEF 2022**, Team \"DS@GT\"\n\nThe three remaining (also very good) working note submissions are (in no particular order):\n\nA. Sampathkumar & D. Kowerko: **TUC Media Computing at BirdCLEF 2022: Strategies in\nidentifying bird sounds in a complex acoustic environment**, Team \"Arunodhayan\"\n\nE. Martynov & Y. Uematsu: **Dealing with Class Imbalance in Bird Sound Classification**, Team \"UEMU & slime\"\n\nS. Krishnan, P. Khandelwal & R. Garg: **Bird Species Classification: One Step at a Time**\n\nI will post links to the published PDFs once the CLEF 2022 proceedings have been released in September.\n\nCongratulations and thanks again to everyone who participated and all the teams who went the extra mile to submit a working note!", "1835667": "this is really great work. Congrats for the winner. And, kudos to see other good papers !!", "1836329": "Congratulations to the winners:\n\n(Golden Birds team): M. V. Conde & U.-J. Choi: Few-shot Long-Tailed Bird Audio Recognition.\n\n(Team \"DS@GT) A. Miyaguchi, J. Yu, B. Cheungvivatpant, D. Dudley & A. Swain.\n\n(Team \"Arunodhayan\") A. Sampathkumar & D. Kowerko.\n\n(Team \"UEMU & slime\") E. Martynov & Y. Uematsu\n\nS. Krishnan, P. Khandelwal & R. Garg\n\nThank you all and the participants of BirdCLEF2022 for the incomparable contribution to the scientific community.\n\nMy best regards,\n\nMarília Prata.", "2641846": "Congrats to the winners. Amazing challenge and good solutions.", "2894512": "loved the work" }, "source": "meta" }