#A Gentle Introduction to Computer Vision
#CV
@Machine_learn
https://machinelearningmastery.com/what-is-computer-vision/
#CV
@Machine_learn
https://machinelearningmastery.com/what-is-computer-vision/
@Machine_learn
New paper on training with pseudo-labels for semantic segmentation
Semi-Supervised Segmentation of Salt Bodies in Seismic Images:
SOTA (1st place) at TGS Salt Identification Challenge.
Github: https://github.com/ybabakhin/kaggle_salt_bes_phalanx
ArXiV: https://arxiv.org/abs/1904.04445
#GCPR2019 #Segmentation #CV
New paper on training with pseudo-labels for semantic segmentation
Semi-Supervised Segmentation of Salt Bodies in Seismic Images:
SOTA (1st place) at TGS Salt Identification Challenge.
Github: https://github.com/ybabakhin/kaggle_salt_bes_phalanx
ArXiV: https://arxiv.org/abs/1904.04445
#GCPR2019 #Segmentation #CV
Recognize Anything: A Strong Image Tagging Model
Get ready for a breakthrough in the realm of AI: introducing the Recognize Anything Model (RAM), a powerful new model that is set to revolutionize image tagging. RAM, a titan in the world of large computer vision models, astoundingly exhibits the zero-shot ability to recognize any common category with an impressive level of accuracy. Shattering traditional approaches, RAM employs a unique paradigm for image tagging, utilizing large-scale image-text pairs for training instead of relying on tedious manual annotations.
Paper link: https://arxiv.org/abs/2306.03514
Code link: https://github.com/xinyu1205/recognize-anything
Project link: https://recognize-anything.github.io/
A detailed unofficial overview of the paper: https://andlukyane.com/blog/paper-review-ram
#deeplearning #cv #imagecaptioning
@Machine_lean
Recognize Anything: A Strong Image Tagging Model
Get ready for a breakthrough in the realm of AI: introducing the Recognize Anything Model (RAM), a powerful new model that is set to revolutionize image tagging. RAM, a titan in the world of large computer vision models, astoundingly exhibits the zero-shot ability to recognize any common category with an impressive level of accuracy. Shattering traditional approaches, RAM employs a unique paradigm for image tagging, utilizing large-scale image-text pairs for training instead of relying on tedious manual annotations.
Paper link: https://arxiv.org/abs/2306.03514
Code link: https://github.com/xinyu1205/recognize-anything
Project link: https://recognize-anything.github.io/
A detailed unofficial overview of the paper: https://andlukyane.com/blog/paper-review-ram
#deeplearning #cv #imagecaptioning
@Machine_lean
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