Everything related to Computer Vision
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The Science of Vision: An Introduction - https://mind.ilstu.edu/curriculum/vision_science_intro/vision_science_intro.html
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Semantic Understanding of Scenes through ADE20K Dataset. https://arxiv.org/pdf/1608.05442.pdf
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Papers with Code: https://paperswithcode.com/task/real-time-semantic-segmentation/latest
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Consistent video depth estimation - https://arxiv.org/abs/2004.15021
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Robust Consistent Video Depth Estimation - https://arxiv.org/abs/2012.05901
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Single Image Depth Estimation From Predicted Semantic Labels - http://ai.stanford.edu/~koller/Papers/Liu%2Bal%3ACVPR10.pdf
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Review paper on depth estimation methods A taxonomy and evaluation of dense two-frame stereo correspondence algorithms.
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Unsupervised learning in images (relevant for thesis):
- Unsupervised cnn for single view depth estimation: Geometry to the rescue
- Unsupervised learning of depth and ego-motion from video.
- Unsupervised monocular depth estimation with left-right consistency.
- https://github.com/xiaoyufenfei/Efficient-Segmentation-Networks
- https://github.com/topics/real-time-semantic-segmentation
- EPFL: http://www.klewel.com/conferences/epfl-computer-vision/
- UCF: https://www.crcv.ucf.edu/courses/cap5415-fall-2012/
- Udacity: https://www.youtube.com/playlist?list=PLAwxTw4SYaPnbDacyrK_kB_RUkuxQBlCm
- Active Learning - https://towardsdatascience.com/active-learning-5b9d0955292d
- Facial landmarking - https://medium.com/datadriveninvestor/facial-landmark-detection-in-real-time-using-opencv-dlib-adbba9255329
- Depth Estimation - https://towardsdatascience.com/depth-estimation-1-basics-and-intuition-86f2c9538cd1
- Active Learning - https://modal-python.readthedocs.io/en/latest/content/examples/Keras_integration.html
- Mask R-CNN - https://arxiv.org/abs/1703.06870
- Fast R-CNN - https://arxiv.org/abs/1504.08083
- Faster R-CNN - https://arxiv.org/abs/1506.01497
- Image Segmentation Using Deep Learning: A Survey - https://arxiv.org/abs/2001.05566