Channel for who have a passion for Computer Vision, #Deep and #Machine #Learning, #Artificial #Intelligence and Python programming. Up-to-date books, articles or links provided based on #Python.
MIT Introduction to Deep Learning - 2023 Starting soon! MIT Intro to DL is one of the most concise AI courses on the web that cover basic deep learning techniques, architectures, and applications.
2023 lectures are starting in just one day, Jan 9th!
Link to register:
http://introtodeeplearning.comMIT Introduction to Deep Learning The 2022 lectures can be found here:
m.youtube.com/playlis…playlist
PACO: Parts and Attributes of Common Objects
Sometimes object detection is not enough and you need more detail about object. Especially, when parts of objects is matters in your task. Then this dataset is for you from Facebook research team.
PACO is a detection dataset that goes beyond traditional object boxes and masks and provides richer annotations such as part masks and attributes. It spans 75 object categories, 456 object-part categories and 55 attributes across image (LVIS) and video (Ego4D) datasets.
Paper:
https://arxiv.org/pdf/2301.01795.pdf
Github:
https://github.com/facebookresearch/paco
Visualization:
github.com/faceboo…otebooks@computer_science_and_programming
Happy New Year!
Summary of our channel for 2022.
In the new 2023 year, we wish a rapid increase in subscribers, high posts reach, high-quality active audience and, of course, happiness and health.
A traditional present from us is a New Year card with your channel's this year results.
See you in 2023, from TGSTAT team
@computer_science_and_programming
DeepLSD: Line Segment Detection and Refinement with Deep Image Gradients
DeepLSD is a generic line detector that combines the robustness of deep learning with the accuracy of handcrafted detectors. It can be used to extract generic line segments from images in-the-wild, and is suitable for any task requiring high precision, such as homography estimation, visual localization, and 3D reconstruction. By predicting a line distance and angle fields, it can furthermore refine any existing line segments through an optimization
Paper:
https://arxiv.org/abs/2212.07766v1
Github:
https://github.com/cvg/deeplsd
Dataset:
https://paperswithcode.com/dataset/hpatches
@computer_science_and_programming
The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels. - GitHub - cleanlab/cleanlab: The standard data-centric AI package for data qualit...