For those interested to acquire some more knowledge on the different segmentation techniques have a look at the following resources:
\n\nhttp://blog.qure.ai/notes/semantic-segmentation-deep-learning-review#deeplabv3\nhttps://www.slideshare.net/samchoi7/semantic-segmentation-methods-using-deep-learning\nhttp://forums.fast.ai/t/implementing-mask-r-cnn/2234/50\nhttps://lilianweng.github.io/lil-log/2017/12/31/object-recognition-for-dummies-part-3.html\nhttps://www.yuthon.com/2017/04/27/Notes-From-Faster-R-CNN-to-Mask-R-CNN/\nhttps://blog.csdn.net/yunxinan/article/details/71374882\nhttps://blog.csdn.net/u010069760/article/details/78465505\nhttps://www.ctolib.com/tf-faster-rcnn.html (https://arxiv.org/pdf/1702.02138.pdf)\nhttp://agamenon.tsc.uah.es/Investigacion/gram/publications/eccv2016-onoro.pdf\nhttp://forums.fast.ai/t/kaggle-data-science-bowl-2018-find-and-segment-nuclei/9966\nhttps://github.com/mrgloom/awesome-semantic-segmentation
", "messages": [ { "id": "298836", "postDate": "03/20/2018 04:11:25", "content": "For those interested to acquire some more knowledge on the different segmentation techniques have a look at the following resources:
\n\nhttp://blog.qure.ai/notes/semantic-segmentation-deep-learning-review#deeplabv3\nhttps://www.slideshare.net/samchoi7/semantic-segmentation-methods-using-deep-learning\nhttp://forums.fast.ai/t/implementing-mask-r-cnn/2234/50\nhttps://lilianweng.github.io/lil-log/2017/12/31/object-recognition-for-dummies-part-3.html\nhttps://www.yuthon.com/2017/04/27/Notes-From-Faster-R-CNN-to-Mask-R-CNN/\nhttps://blog.csdn.net/yunxinan/article/details/71374882\nhttps://blog.csdn.net/u010069760/article/details/78465505\nhttps://www.ctolib.com/tf-faster-rcnn.html (https://arxiv.org/pdf/1702.02138.pdf)\nhttp://agamenon.tsc.uah.es/Investigacion/gram/publications/eccv2016-onoro.pdf\nhttp://forums.fast.ai/t/kaggle-data-science-bowl-2018-find-and-segment-nuclei/9966\nhttps://github.com/mrgloom/awesome-semantic-segmentation
", "rawMarkdown": "For those interested to acquire some more knowledge on the different segmentation techniques have a look at the following resources:\n\nhttp://blog.qure.ai/notes/semantic-segmentation-deep-learning-review#deeplabv3\nhttps://www.slideshare.net/samchoi7/semantic-segmentation-methods-using-deep-learning\nhttp://forums.fast.ai/t/implementing-mask-r-cnn/2234/50\nhttps://lilianweng.github.io/lil-log/2017/12/31/object-recognition-for-dummies-part-3.html\nhttps://www.yuthon.com/2017/04/27/Notes-From-Faster-R-CNN-to-Mask-R-CNN/\nhttps://blog.csdn.net/yunxinan/article/details/71374882\nhttps://blog.csdn.net/u010069760/article/details/78465505\nhttps://www.ctolib.com/tf-faster-rcnn.html (https://arxiv.org/pdf/1702.02138.pdf)\nhttp://agamenon.tsc.uah.es/Investigacion/gram/publications/eccv2016-onoro.pdf\nhttp://forums.fast.ai/t/kaggle-data-science-bowl-2018-find-and-segment-nuclei/9966\nhttps://github.com/mrgloom/awesome-semantic-segmentation", "votes": null }, { "id": "298849", "postDate": "03/20/2018 04:48:24", "content": "Thanks for sharing Kirk! \nI have been looking at these two tutorials:
\n\nhttps://leonardoaraujosantos.gitbooks.io/artificial-inteligence/content/object_localization_and_detection.html\nhttps://skrish13.github.io/articles/2018-03/fair-cv-saga
", "rawMarkdown": "Thanks for sharing Kirk! \nI have been looking at these two tutorials: \n\nhttps://leonardoaraujosantos.gitbooks.io/artificial-inteligence/content/object_localization_and_detection.html\nhttps://skrish13.github.io/articles/2018-03/fair-cv-saga", "votes": null }, { "id": "299082", "postDate": "03/20/2018 12:53:38", "content": "Thanks @Mehul those are great as well. You might want to also consider https://tryolabs.com/blog/2018/01/18/faster-r-cnn-down-the-rabbit-hole-of-modern-object-detection/
", "rawMarkdown": "Thanks @Mehul those are great as well. You might want to also consider https://tryolabs.com/blog/2018/01/18/faster-r-cnn-down-the-rabbit-hole-of-modern-object-detection/", "votes": null } ], "comments": [ { "id": 298849, "author_name": "mpsampat", "author_url": "", "post_date": "03/20/2018 04:48:24", "content": "Thanks for sharing Kirk! \nI have been looking at these two tutorials:
\n\nhttps://leonardoaraujosantos.gitbooks.io/artificial-inteligence/content/object_localization_and_detection.html\nhttps://skrish13.github.io/articles/2018-03/fair-cv-saga
", "votes": null, "replies": [ { "id": 299082, "author_name": "kirk86", "author_url": "", "post_date": "03/20/2018 12:53:38", "content": "Thanks @Mehul those are great as well. You might want to also consider https://tryolabs.com/blog/2018/01/18/faster-r-cnn-down-the-rabbit-hole-of-modern-object-detection/
", "votes": null, "replies": [] } ] } ], "raw_markdown_by_id": { "298836": "For those interested to acquire some more knowledge on the different segmentation techniques have a look at the following resources:\n\nhttp://blog.qure.ai/notes/semantic-segmentation-deep-learning-review#deeplabv3\nhttps://www.slideshare.net/samchoi7/semantic-segmentation-methods-using-deep-learning\nhttp://forums.fast.ai/t/implementing-mask-r-cnn/2234/50\nhttps://lilianweng.github.io/lil-log/2017/12/31/object-recognition-for-dummies-part-3.html\nhttps://www.yuthon.com/2017/04/27/Notes-From-Faster-R-CNN-to-Mask-R-CNN/\nhttps://blog.csdn.net/yunxinan/article/details/71374882\nhttps://blog.csdn.net/u010069760/article/details/78465505\nhttps://www.ctolib.com/tf-faster-rcnn.html (https://arxiv.org/pdf/1702.02138.pdf)\nhttp://agamenon.tsc.uah.es/Investigacion/gram/publications/eccv2016-onoro.pdf\nhttp://forums.fast.ai/t/kaggle-data-science-bowl-2018-find-and-segment-nuclei/9966\nhttps://github.com/mrgloom/awesome-semantic-segmentation", "298849": "Thanks for sharing Kirk! \nI have been looking at these two tutorials: \n\nhttps://leonardoaraujosantos.gitbooks.io/artificial-inteligence/content/object_localization_and_detection.html\nhttps://skrish13.github.io/articles/2018-03/fair-cv-saga", "299082": "Thanks @Mehul those are great as well. You might want to also consider https://tryolabs.com/blog/2018/01/18/faster-r-cnn-down-the-rabbit-hole-of-modern-object-detection/" }, "source": "meta" }