CS224W: Machine Learning with Graphs - Stanford / Winter 2021
https://www.youtube.com/playlist?list=PLuv1FSpHurUemjLiP4L1x9k6Z9D8rNbYW
Full Stack Deep Learning - Spring 2021 - UC Berkeley
https://www.youtube.com/playlist?list=PLuv1FSpHurUc2nlabZjCLLe8EQa9fOoa9
Introduction to Deep Learning (I2DL) - Technical University of Munich
https://www.youtube.com/playlist?list=PLuv1FSpHurUdmk7v06MDyIx0SDxTrIoqk
3D Computer Vision - National University of Singapore - 2021
https://www.youtube.com/playlist?list=PLuv1FSpHurUflLnJF6hgi0FkeNG1zSFCZ
CV3DST - Computer Vision 3: Detection, Segmentation and Tracking
https://www.youtube.com/playlist?list=PLuv1FSpHurUd08wNo1FMd3eCUZXm8qexe
ADL4CV - Advanced Deep Learning for Computer Vision
https://www.youtube.com/playlist?list=PLuv1FSpHurUcQi2CwFIVQelSFCzxphJqz
https://www.youtube.com/playlist?list=PLuv1FSpHurUemjLiP4L1x9k6Z9D8rNbYW
Full Stack Deep Learning - Spring 2021 - UC Berkeley
https://www.youtube.com/playlist?list=PLuv1FSpHurUc2nlabZjCLLe8EQa9fOoa9
Introduction to Deep Learning (I2DL) - Technical University of Munich
https://www.youtube.com/playlist?list=PLuv1FSpHurUdmk7v06MDyIx0SDxTrIoqk
3D Computer Vision - National University of Singapore - 2021
https://www.youtube.com/playlist?list=PLuv1FSpHurUflLnJF6hgi0FkeNG1zSFCZ
CV3DST - Computer Vision 3: Detection, Segmentation and Tracking
https://www.youtube.com/playlist?list=PLuv1FSpHurUd08wNo1FMd3eCUZXm8qexe
ADL4CV - Advanced Deep Learning for Computer Vision
https://www.youtube.com/playlist?list=PLuv1FSpHurUcQi2CwFIVQelSFCzxphJqz
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Advancing the state of the art in computer vision with self-supervised Transformers and 10x more efficient training
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🔥 Self-Supervised Vision Transformers with DINO
Blogpost:
https://ai.facebook.com/blog/dino-paws-computer-vision-with-self-supervised-transformers-and-10x-more-efficient-training/
Paper:
https://arxiv.org/pdf/2104.14294.pdf
Code:
https://github.com/facebookresearch/dino
Blogpost:
https://ai.facebook.com/blog/dino-paws-computer-vision-with-self-supervised-transformers-and-10x-more-efficient-training/
Paper:
https://arxiv.org/pdf/2104.14294.pdf
Code:
https://github.com/facebookresearch/dino
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Github:
https://github.com/OlafenwaMoses/DeepStack_ExDark
Documentation:
https://docs.deepstack.cc/index.html#installation
Custom dataset preparation:
https://docs.deepstack.cc/custom-models/datasetprep/index.html
Training custom model:
https://docs.deepstack.cc/custom-models/training/index.html
https://github.com/OlafenwaMoses/DeepStack_ExDark
Documentation:
https://docs.deepstack.cc/index.html#installation
Custom dataset preparation:
https://docs.deepstack.cc/custom-models/datasetprep/index.html
Training custom model:
https://docs.deepstack.cc/custom-models/training/index.html
GitHub
GitHub - OlafenwaMoses/DeepStack_ExDark: A DeepStack custom model for detecting common objects in dark/night images and videos.
A DeepStack custom model for detecting common objects in dark/night images and videos. - OlafenwaMoses/DeepStack_ExDark
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500 + 𝗔𝗿𝘁𝗶𝗳𝗶𝗰𝗶𝗮𝗹 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 𝗣𝗿𝗼𝗷𝗲𝗰𝘁 𝗟𝗶𝘀𝘁 𝘄𝗶𝘁𝗵 𝗰𝗼𝗱𝗲
https://github.com/ashishpatel26/500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code
https://github.com/ashishpatel26/500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code
GitHub
GitHub - ashishpatel26/500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code: 500 AI Machine learning Deep…
500 AI Machine learning Deep learning Computer vision NLP Projects with code - ashishpatel26/500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code
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Synthesizing Light Field From a Single Image with Variable MPI and Two Network Fusion
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Paper:
https://people.engr.tamu.edu/nimak/Papers/SIGAsia2020_LF/resource/SIGGRAPH_2020_Light_Field_Authors_version.pdf
Code:
https://github.com/Turmac/light_field_synthesis
Project page:
https://people.engr.tamu.edu/nimak/Papers/SIGAsia2020_LF/index.html
Dataset:
https://drive.google.com/file/d/1oHywOJAAYm8YrSH5mDubjTAwN8jrCC9y/view
https://people.engr.tamu.edu/nimak/Papers/SIGAsia2020_LF/resource/SIGGRAPH_2020_Light_Field_Authors_version.pdf
Code:
https://github.com/Turmac/light_field_synthesis
Project page:
https://people.engr.tamu.edu/nimak/Papers/SIGAsia2020_LF/index.html
Dataset:
https://drive.google.com/file/d/1oHywOJAAYm8YrSH5mDubjTAwN8jrCC9y/view
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All Open Access Papers:
https://openaccess.thecvf.com/CVPR2021
https://openaccess.thecvf.com/CVPR2021
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From Google and Waymo researchers: The self-/unsupervised revolution is near! Unsupervised optical flow model SMURF improves SOTA by 40% and beats many supervised methods such as PWC-Net and FlowNet2
👉 @computer_science_and_programming
👉 @computer_science_and_programming
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SMURF: Self-Teaching Multi-Frame Unsupervised RAFT with Full-Image Warping
Paper:
https://arxiv.org/pdf/2105.07014.pdf
Video:
https://www.youtube.com/watch?v=W7NCbfZp6QE
Code:
https://github.com/google-research/google-research/tree/master/smurf
👉 @computer_science_and_programming
Paper:
https://arxiv.org/pdf/2105.07014.pdf
Video:
https://www.youtube.com/watch?v=W7NCbfZp6QE
Code:
https://github.com/google-research/google-research/tree/master/smurf
👉 @computer_science_and_programming
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