{ "id": 307678, "title": "Last Whale Identification Competition Winner Solution", "url": "/competitions/happy-whale-and-dolphin/discussion/307678", "author_name": "", "post_date": "2022-02-15T07:33:43.609626700Z", "votes": 17, "comment_count": 2, "views": 0, "content": "

Competition：Humpback Whale Identification

\n

1st Solution:
\nKey Point: Senet-154 + Plenty tricks (go discussion)
\nCode: https://github.com/earhian/Humpback-Whale-Identification-1st-
\nDiscussion: https://www.kaggle.com/c/humpback-whale-identification/discussion/82366

\n

2nd Solution：
\nKey Point: resnet101, seresnet101, seresnext101; with 256x512 or 512x512 size.
\nCode: https://github.com/SeuTao/Kaggle_Whale2019_2nd_palce_solution

\n

3rd Solution:
\nKey Point: Densenet-121 with ArcFace and Augment
\nDiscussion: https://www.kaggle.com/c/humpback-whale-identification/discussion/82484
\nCode: https://github.com/pudae/kaggle-humpback

\n

4th Solution:
\nKey Point: SIFT and Keypoint matching
\nDiscussion: https://www.kaggle.com/c/humpback-whale-identification/discussion/82356

\n

5th Solution:
\nCode: https://github.com/aaxwaz/Humpback-whale-identification-challenge
\nDiscussion: https://weiminwang.blog/2019/03/01/whale-identification-5th-place-approach-using-siamese-networks-with-adversarial-training/

\n

7th Solution:
\nKey Point: metric learning
\nhttps://www.kaggle.com/c/humpback-whale-identification/discussion/82502

", "messages": [ { "id": "1691022", "postDate": "02/15/2022 07:33:43", "content": "

Competition：Humpback Whale Identification

\n

1st Solution:
\nKey Point: Senet-154 + Plenty tricks (go discussion)
\nCode: https://github.com/earhian/Humpback-Whale-Identification-1st-
\nDiscussion: https://www.kaggle.com/c/humpback-whale-identification/discussion/82366

\n

2nd Solution：
\nKey Point: resnet101, seresnet101, seresnext101; with 256x512 or 512x512 size.
\nCode: https://github.com/SeuTao/Kaggle_Whale2019_2nd_palce_solution

\n

3rd Solution:
\nKey Point: Densenet-121 with ArcFace and Augment
\nDiscussion: https://www.kaggle.com/c/humpback-whale-identification/discussion/82484
\nCode: https://github.com/pudae/kaggle-humpback

\n

4th Solution:
\nKey Point: SIFT and Keypoint matching
\nDiscussion: https://www.kaggle.com/c/humpback-whale-identification/discussion/82356

\n

5th Solution:
\nCode: https://github.com/aaxwaz/Humpback-whale-identification-challenge
\nDiscussion: https://weiminwang.blog/2019/03/01/whale-identification-5th-place-approach-using-siamese-networks-with-adversarial-training/

\n

7th Solution:
\nKey Point: metric learning
\nhttps://www.kaggle.com/c/humpback-whale-identification/discussion/82502

", "rawMarkdown": "Competition：**Humpback Whale Identification**\n\n1st Solution:\nKey Point: Senet-154 + Plenty tricks (go discussion)\nCode: https://github.com/earhian/Humpback-Whale-Identification-1st-\nDiscussion: https://www.kaggle.com/c/humpback-whale-identification/discussion/82366\n\n\n2nd Solution：\nKey Point: resnet101, seresnet101, seresnext101; with 256x512 or 512x512 size.\nCode: https://github.com/SeuTao/Kaggle_Whale2019_2nd_palce_solution\n\n3rd Solution:\nKey Point: Densenet-121 with ArcFace and Augment\nDiscussion: https://www.kaggle.com/c/humpback-whale-identification/discussion/82484\nCode: https://github.com/pudae/kaggle-humpback\n\n4th Solution:\nKey Point: SIFT and Keypoint matching\nDiscussion: https://www.kaggle.com/c/humpback-whale-identification/discussion/82356\n\n5th Solution:\nCode: https://github.com/aaxwaz/Humpback-whale-identification-challenge\nDiscussion: https://weiminwang.blog/2019/03/01/whale-identification-5th-place-approach-using-siamese-networks-with-adversarial-training/\n\n7th Solution:\nKey Point: metric learning\nhttps://www.kaggle.com/c/humpback-whale-identification/discussion/82502", "votes": null }, { "id": "1692436", "postDate": "02/16/2022 03:26:53", "content": "

Thank you for posting! I was planning on manually doing this by hand, but having it posted publicly is a great asset to us all

", "rawMarkdown": "Thank you for posting! I was planning on manually doing this by hand, but having it posted publicly is a great asset to us all", "votes": null }, { "id": "1692802", "postDate": "02/16/2022 08:38:31", "content": "

You are welcome

", "rawMarkdown": "You are welcome", "votes": null } ], "comments": [ { "id": 1692436, "author_name": "dentistdad", "author_url": "", "post_date": "02/16/2022 03:26:53", "content": "

Thank you for posting! I was planning on manually doing this by hand, but having it posted publicly is a great asset to us all

", "votes": null, "replies": [ { "id": 1692802, "author_name": "dwchen", "author_url": "", "post_date": "02/16/2022 08:38:31", "content": "

You are welcome

", "votes": null, "replies": [] } ] } ], "raw_markdown_by_id": { "1691022": "Competition：**Humpback Whale Identification**\n\n1st Solution:\nKey Point: Senet-154 + Plenty tricks (go discussion)\nCode: https://github.com/earhian/Humpback-Whale-Identification-1st-\nDiscussion: https://www.kaggle.com/c/humpback-whale-identification/discussion/82366\n\n\n2nd Solution：\nKey Point: resnet101, seresnet101, seresnext101; with 256x512 or 512x512 size.\nCode: https://github.com/SeuTao/Kaggle_Whale2019_2nd_palce_solution\n\n3rd Solution:\nKey Point: Densenet-121 with ArcFace and Augment\nDiscussion: https://www.kaggle.com/c/humpback-whale-identification/discussion/82484\nCode: https://github.com/pudae/kaggle-humpback\n\n4th Solution:\nKey Point: SIFT and Keypoint matching\nDiscussion: https://www.kaggle.com/c/humpback-whale-identification/discussion/82356\n\n5th Solution:\nCode: https://github.com/aaxwaz/Humpback-whale-identification-challenge\nDiscussion: https://weiminwang.blog/2019/03/01/whale-identification-5th-place-approach-using-siamese-networks-with-adversarial-training/\n\n7th Solution:\nKey Point: metric learning\nhttps://www.kaggle.com/c/humpback-whale-identification/discussion/82502", "1692436": "Thank you for posting! I was planning on manually doing this by hand, but having it posted publicly is a great asset to us all", "1692802": "You are welcome" }, "source": "meta" }