{ "id": 575030, "title": "Winning Working Notes from all the BirdCLEF competitions [2021 - 2024]", "url": "/competitions/birdclef-2025/discussion/575030", "author_name": "AC", "post_date": "2025-04-25T13:25:29.997000", "votes": 7, "comment_count": 0, "views": 0, "content": "

Sharing the winning working notes from previous years:

\n

2024

\n
    \n
  1. Addressing_the_Challenges_of_Domain_Shift_in_Bird_Call_Classification_for_BirdCLEF_2024.pdf by @tolgakopar
    2. \n
  2. Transfer Learning with Pseudo Multi-Label Birdcall Classification for DS@GT BirdCLEF 2024
    3. \n
\n

2023

\n
    \n
  1. Transfer Learning with Semi-Supervised Dataset Annotation for Birdcall Classification
    2. \n
  2. Bird Species Recognition using Convolutional Neural Networks with Attention on Frequency Bands
    3. \n
\n

2022

\n
    \n
  1. Few-shot Long-Tailed Bird Audio Recognition
    2. \n
  2. Motif Mining and Unsupervised Representation Learning for BirdCLEF 2022
    3. \n
\n

2021

\n
    \n
  1. \"Weakly-Supervised Classification and Detection of Bird Sounds in the Wild. A BirdCLEF 2021 Solution\"
    2. \n
  2. \"STFT Transformers for Bird Song Recognition\"
    3. \n
  3. \"Recognizing bird species in diverse soundscapes under weak supervision\"
    4. \n
", "messages": [ { "id": 3187037, "postDate": "2025-04-25T13:25:29.997Z", "content": "

Sharing the winning working notes from previous years:

\n

2024

\n
    \n
  1. Addressing_the_Challenges_of_Domain_Shift_in_Bird_Call_Classification_for_BirdCLEF_2024.pdf by @tolgakopar
    2. \n
  2. Transfer Learning with Pseudo Multi-Label Birdcall Classification for DS@GT BirdCLEF 2024
    3. \n
\n

2023

\n
    \n
  1. Transfer Learning with Semi-Supervised Dataset Annotation for Birdcall Classification
    2. \n
  2. Bird Species Recognition using Convolutional Neural Networks with Attention on Frequency Bands
    3. \n
\n

2022

\n
    \n
  1. Few-shot Long-Tailed Bird Audio Recognition
    2. \n
  2. Motif Mining and Unsupervised Representation Learning for BirdCLEF 2022
    3. \n
\n

2021

\n
    \n
  1. \"Weakly-Supervised Classification and Detection of Bird Sounds in the Wild. A BirdCLEF 2021 Solution\"
    2. \n
  2. \"STFT Transformers for Bird Song Recognition\"
    3. \n
  3. \"Recognizing bird species in diverse soundscapes under weak supervision\"
    4. \n
", "rawMarkdown": "Sharing the winning working notes from previous years:\n\n2024\n\n1. [Addressing_the_Challenges_of_Domain_Shift_in_Bird_Call_Classification_for_BirdCLEF_2024.pdf](https://github.com/TeamEpochGithub/iv-q4-birdclef-2024/blob/main/docs/working_note/Addressing_the_Challenges_of_Domain_Shift_in_Bird_Call_Classification_for_BirdCLEF_2024.pdf) by @tolgakopar \n2. [Transfer Learning with Pseudo Multi-Label Birdcall Classification for DS@GT BirdCLEF 2024](https://arxiv.org/abs/2407.06291)\n\n2023\n\n1. [Transfer Learning with Semi-Supervised Dataset Annotation for Birdcall Classification](https://arxiv.org/abs/2306.16760)\n2. [Bird Species Recognition using Convolutional Neural Networks with Attention on Frequency Bands](https://ceur-ws.org/Vol-3497/paper-175.pdf)\n\n2022\n\n1. [Few-shot Long-Tailed Bird Audio Recognition](https://arxiv.org/abs/2206.11260)\n2. [Motif Mining and Unsupervised Representation Learning for BirdCLEF 2022](https://arxiv.org/abs/2206.04805)\n\n2021\n\n1. \"[Weakly-Supervised Classification and Detection of Bird Sounds in the Wild. A BirdCLEF 2021 Solution](https://ceur-ws.org/Vol-2936/paper-131.pdf)\" \n2. [\"STFT Transformers for Bird Song Recognition\"](https://ceur-ws.org/Vol-2936/paper-137.pdf)\n3. [\"Recognizing bird species in diverse soundscapes under weak supervision\" ](https://ceur-ws.org/Vol-2936/paper-134.pdf)", "votes": 7 } ], "comments": [], "raw_markdown_by_id": { "3187037": "Sharing the winning working notes from previous years:\n\n2024\n\n1. [Addressing_the_Challenges_of_Domain_Shift_in_Bird_Call_Classification_for_BirdCLEF_2024.pdf](https://github.com/TeamEpochGithub/iv-q4-birdclef-2024/blob/main/docs/working_note/Addressing_the_Challenges_of_Domain_Shift_in_Bird_Call_Classification_for_BirdCLEF_2024.pdf) by @tolgakopar \n2. [Transfer Learning with Pseudo Multi-Label Birdcall Classification for DS@GT BirdCLEF 2024](https://arxiv.org/abs/2407.06291)\n\n2023\n\n1. [Transfer Learning with Semi-Supervised Dataset Annotation for Birdcall Classification](https://arxiv.org/abs/2306.16760)\n2. [Bird Species Recognition using Convolutional Neural Networks with Attention on Frequency Bands](https://ceur-ws.org/Vol-3497/paper-175.pdf)\n\n2022\n\n1. [Few-shot Long-Tailed Bird Audio Recognition](https://arxiv.org/abs/2206.11260)\n2. [Motif Mining and Unsupervised Representation Learning for BirdCLEF 2022](https://arxiv.org/abs/2206.04805)\n\n2021\n\n1. \"[Weakly-Supervised Classification and Detection of Bird Sounds in the Wild. A BirdCLEF 2021 Solution](https://ceur-ws.org/Vol-2936/paper-131.pdf)\" \n2. [\"STFT Transformers for Bird Song Recognition\"](https://ceur-ws.org/Vol-2936/paper-137.pdf)\n3. [\"Recognizing bird species in diverse soundscapes under weak supervision\" ](https://ceur-ws.org/Vol-2936/paper-134.pdf)" } }