'2019/10/31'에 해당되는 글 8건

  1. 2019.10.31 From NeurIPS 2019: Particularly helpful for fighting wild forest fires: real-time segmentation of fire perimeter from aerial full-motion infrared video https://www.profillic.com/paper/arxiv:1910.06407 FireNet: Real-time Segmentation of Fire Perimeter f..
  2. 2019.10.31 안녕하세요! 어느덧 내일이 ICCV main conference 마지막 날이네요. 내일 오전 10시 30분에 143번에서 tag2pix poster 발표를 합니다. Color tag를 이용해서 스케치를 자동으로 채색하는 논문인데, 관심 있으..
  3. 2019.10.31 https://www.youtube.com/channel/UC0n76gicaarsN_Y9YShWwhw/videos 여기에 CVPR 영상들이 있는데, 19년도 튜토리얼은 안 보이네요.. https://www.youtube.com/channel/UC0n76gicaarsN_Y9YShWwhw/playlists 18년도 튜토리얼은 수록되어 ..
  4. 2019.10.31 머신러닝 모델 디버깅 리소스와 팁 https://t.co/9Y7kDc1hag?amp=1 https://medium.com/infinity-aka-aseem/things-we-wish-we-had-known-before-we-started-our-first-machine-learning-project-336d1d6f2184 https://medium.com/@keeper6928/how-to-uni..
  5. 2019.10.31 혹시 ICCV 2019 영상 올라오나요? https://www.youtube.com/channel/UC0n76gicaarsN_Y9YShWwhw 여기에 튜토리얼이랑 메인컨퍼런스 구두발표는 아마 올라올거에요~
  6. 2019.10.31 From Google brain researchers @NeurIPS 2019: Learning to Predict Without Looking Ahead https://www.profillic.com/paper/arxiv:1910.13038 "Rather than hardcoding forward prediction, we try to get agents to *learn* that they need to predict the future"
  7. 2019.10.31 Component Attention Guided Face Super-Resolution Network: CAGFace 얼굴에 특화된 4배 확대 SR 신경망 모델인데... 성능이 상당히 좋네요. 대신 신경망도 덩치가 크네요. 학습 파라메터가 6천만개가 넘습니다. ..
  8. 2019.10.31 This video gives a quick overview of 41 research papers presented by Google at the International Conference on Computer Vision (ICCV)! [https://youtu.be/z-yvY8iAaHM](https://t.co/1q6od2KUzp?amp=1)

From NeurIPS 2019: Particularly helpful for fighting wild forest fires: real-time segmentation of fire perimeter from aerial full-motion infrared video https://www.profillic.com/paper/arxiv:1910.06407 FireNet: Real-time Segmentation of Fire Perimeter f..

Deep Learning/Papers2read 2019. 10. 31. 22:06
From NeurIPS 2019: Particularly helpful for fighting wild forest fires: real-time segmentation of fire perimeter from aerial full-motion infrared video
https://www.profillic.com/paper/arxiv:1910.06407

FireNet: Real-time Segmentation of Fire Perimeter from Aerial Video
https://www.facebook.com/groups/DeepNetGroup/permalink/987081835018032/?sfnsn=mo

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PR12 논문읽기 모임의 204번째 논문발표 입니다. https://www.youtube.com/watch?v=YNicvevmByo&feature=youtu.be ICLR2019 에서 발표된 "Learning deep representations by mutual information estimation and maximization" 이라는 논문을 ..  (0) 2019.11.04
안녕하세요, 전 수아랩 현 코그넥스 에서 머신러닝 엔지니어로 일하고있는 이호성이라고합니다. 지난주 서울에서 열린 ICCV 2019 학회에 다녀온 후기와, Best Paper로 선정된 “SinGAN: Learning a Genera..  (0) 2019.11.04
안녕하세요! 어느덧 내일이 ICCV main conference 마지막 날이네요. 내일 오전 10시 30분에 143번에서 tag2pix poster 발표를 합니다. Color tag를 이용해서 스케치를 자동으로 채색하는 논문인데, 관심 있으..  (0) 2019.10.31
From Google brain researchers @NeurIPS 2019: Learning to Predict Without Looking Ahead https://www.profillic.com/paper/arxiv:1910.13038 "Rather than hardcoding forward prediction, we try to get agents to *learn* that they need to predict the future"  (0) 2019.10.31
This video gives a quick overview of 41 research papers presented by Google at the International Conference on Computer Vision (ICCV)! [https://youtu.be/z-yvY8iAaHM](https://t.co/1q6od2KUzp?amp=1)  (0) 2019.10.31
Posted by uniqueone
,

안녕하세요! 어느덧 내일이 ICCV main conference 마지막 날이네요. 내일 오전 10시 30분에 143번에서 tag2pix poster 발표를 합니다. Color tag를 이용해서 스케치를 자동으로 채색하는 논문인데, 관심 있으..

Deep Learning/Papers2read 2019. 10. 31. 21:41
안녕하세요! 어느덧 내일이 ICCV main conference 마지막 날이네요. 내일 오전 10시 30분에 143번에서 tag2pix poster 발표를 합니다.

Color tag를 이용해서 스케치를 자동으로 채색하는 논문인데, 관심 있으신 분들은 오셔서 같이 이야기 나누었으면 좋겠습니다. 저는 GAN, detection, domain adaptation 등에 관심이 많습니다 ㅎㅎ

코드와 데이터셋 배포했습니다. 감사합니다 :)

Paper: https://arxiv.org/abs/1908.05840
Code: https://github.com/blandocs/Tag2Pix
GUI: https://github.com/MerHS/tag2pix-gui
https://www.facebook.com/groups/TensorFlowKR/permalink/1024410971233294/?sfnsn=mo

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안녕하세요, 전 수아랩 현 코그넥스 에서 머신러닝 엔지니어로 일하고있는 이호성이라고합니다. 지난주 서울에서 열린 ICCV 2019 학회에 다녀온 후기와, Best Paper로 선정된 “SinGAN: Learning a Genera..  (0) 2019.11.04
From NeurIPS 2019: Particularly helpful for fighting wild forest fires: real-time segmentation of fire perimeter from aerial full-motion infrared video https://www.profillic.com/paper/arxiv:1910.06407 FireNet: Real-time Segmentation of Fire Perimeter f..  (0) 2019.10.31
From Google brain researchers @NeurIPS 2019: Learning to Predict Without Looking Ahead https://www.profillic.com/paper/arxiv:1910.13038 "Rather than hardcoding forward prediction, we try to get agents to *learn* that they need to predict the future"  (0) 2019.10.31
This video gives a quick overview of 41 research papers presented by Google at the International Conference on Computer Vision (ICCV)! [https://youtu.be/z-yvY8iAaHM](https://t.co/1q6od2KUzp?amp=1)  (0) 2019.10.31
From NeurIPS 2019: Particularly helpful for fighting wild forest fires: real-time segmentation of fire perimeter from aerial full-motion infrared video https://www.profillic.com/paper/arxiv:1910.06407 FireNet: Real-time Segmentation of Fire Perimeter ..  (0) 2019.10.29
Posted by uniqueone
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https://www.youtube.com/channel/UC0n76gicaarsN_Y9YShWwhw/videos 여기에 CVPR 영상들이 있는데, 19년도 튜토리얼은 안 보이네요.. https://www.youtube.com/channel/UC0n76gicaarsN_Y9YShWwhw/playlists 18년도 튜토리얼은 수록되어 ..

Deep Learning/course 2019. 10. 31. 21:40
CVPR 2019 Tutorial, 컴퓨터 비전을 위한 심층강화학습
http://ivg.au.tsinghua.edu.cn/DRLCV/

튜토리얼 슬라이드
http://ivg.au.tsinghua.edu.cn/DRLCV/CVPR19_tutorial.pdf




https://www.youtube.com/channel/UC0n76gicaarsN_Y9YShWwhw/videos 여기에 CVPR 영상들이 있는데, 19년도 튜토리얼은 안 보이네요.. https://www.youtube.com/channel/UC0n76gicaarsN_Y9YShWwhw/playlists 18년도 튜토리얼은 수록되어 있는 것으로 보아 나중에 올라올지 모르겠습니다.

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이번 ICCV 자료를 보다가, 예전 ICCV / CVPR 영상들을 보니까 좋은 워크샵 / 튜토리얼 영상들이 있더라구요! 컴퓨터 비전 공부하시는 분들께 도움되는 자료가 많은 것 같아 공유합니다 😇 ICCV 2019 ..  (0) 2019.11.27
A complete list of six video lectures in Generative adversarial network (GAN) is available on my YouTube Channel https://www.youtube.com/playlist?list=PLdxQ7SoCLQAMGgQAIAcyRevM8VvygTpCu You can subscribe my channel for more such videos https://www.yo..  (0) 2019.11.05
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머신러닝 모델 디버깅 리소스와 팁 https://t.co/9Y7kDc1hag?amp=1 https://medium.com/infinity-aka-aseem/things-we-wish-we-had-known-before-we-started-our-first-machine-learning-project-336d1d6f2184 https://medium.com/@keeper6928/how-to-uni..

Deep Learning/resources 2019. 10. 31. 15:43
머신러닝 모델 디버깅 리소스와 팁

https://t.co/9Y7kDc1hag?amp=1

https://medium.com/infinity-aka-aseem/things-we-wish-we-had-known-before-we-started-our-first-machine-learning-project-336d1d6f2184

https://medium.com/@keeper6928/how-to-unit-test-machine-learning-code-57cf6fd81765

https://pcc.cs.byu.edu/2017/10/02/practical-advice-for-building-deep-neural-networks/amp/?__twitter_impression=true

https://medium.com/ai%C2%B3-theory-practice-business/top-6-errors-novice-machine-learning-engineers-make-e82273d394db

http://karpathy.github.io/2019/04/25/recipe/

https://github.com/EricSchles/drifter_ml
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혹시 ICCV 2019 영상 올라오나요? Jitendra Malik이 한 토크가 궁금해서 보고싶은데 못 찾겠네요 ㅠㅠ

https://www.youtube.com/channel/UC0n76gicaarsN_Y9YShWwhw

여기에 튜토리얼이랑 메인컨퍼런스 구두발표는 아마 올라올거에요~
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From Google brain researchers @NeurIPS 2019: Learning to Predict Without Looking Ahead https://www.profillic.com/paper/arxiv:1910.13038 "Rather than hardcoding forward prediction, we try to get agents to *learn* that they need to predict the future"

Deep Learning/Papers2read 2019. 10. 31. 15:12
From Google brain researchers @NeurIPS 2019: Learning to Predict Without Looking Ahead

https://www.profillic.com/paper/arxiv:1910.13038

"Rather than hardcoding forward prediction, we try to get agents to *learn* that they need to predict the future"
https://www.facebook.com/groups/1738168866424224/permalink/2439511069623330/?sfnsn=mo

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From NeurIPS 2019: Particularly helpful for fighting wild forest fires: real-time segmentation of fire perimeter from aerial full-motion infrared video https://www.profillic.com/paper/arxiv:1910.06407 FireNet: Real-time Segmentation of Fire Perimeter f..  (0) 2019.10.31
안녕하세요! 어느덧 내일이 ICCV main conference 마지막 날이네요. 내일 오전 10시 30분에 143번에서 tag2pix poster 발표를 합니다. Color tag를 이용해서 스케치를 자동으로 채색하는 논문인데, 관심 있으..  (0) 2019.10.31
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Posted by uniqueone
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Component Attention Guided Face Super-Resolution Network: CAGFace 얼굴에 특화된 4배 확대 SR 신경망 모델인데... 성능이 상당히 좋네요. 대신 신경망도 덩치가 크네요. 학습 파라메터가 6천만개가 넘습니다. ..

Deep Learning/face_related 2019. 10. 31. 15:09
Component Attention Guided Face Super-Resolution Network: CAGFace

얼굴에 특화된 4배 확대 SR 신경망 모델인데...
성능이 상당히 좋네요.

대신 신경망도 덩치가 크네요. 학습 파라메터가 6천만개가 넘습니다.

https://arxiv.org/pdf/1910.08761.pdf
https://www.facebook.com/groups/TensorFlowKR/permalink/1024154381258953/?sfnsn=mo
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This video gives a quick overview of 41 research papers presented by Google at the International Conference on Computer Vision (ICCV)! [https://youtu.be/z-yvY8iAaHM](https://t.co/1q6od2KUzp?amp=1)

Deep Learning/Papers2read 2019. 10. 31. 10:53
This video gives a quick overview of 41 research papers presented by Google at the International Conference on Computer Vision (ICCV)!

 [https://youtu.be/z-yvY8iAaHM](https://t.co/1q6od2KUzp?amp=1)
https://www.facebook.com/groups/DeepNetGroup/permalink/989370031455879/?sfnsn=mo

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