12 Weeks, 24 Lessons, AI for All!
Обновлено 2024-11-11 22:55:47 +03:00
The ORBIT dataset is a collection of videos of objects in clean and cluttered scenes recorded by people who are blind/low-vision on a mobile phone. The dataset is presented with a teachable object recognition benchmark task which aims to drive few-shot learning on challenging real-world data.
Обновлено 2024-08-13 03:27:45 +03:00
CoCosNet v2: Full-Resolution Correspondence Learning for Image Translation
Обновлено 2024-07-25 14:07:42 +03:00
Experience, Learn and Code the latest breakthrough innovations with Microsoft AI
Обновлено 2024-06-26 22:42:37 +03:00
Prototypical Pseudo Label Denoising and Target Structure Learning for Domain Adaptive Semantic Segmentation (CVPR 2021)
Обновлено 2023-07-07 00:28:52 +03:00
Improving Generalization via Scalable Neighborhood Component Analysis
Обновлено 2023-06-12 22:02:13 +03:00
Cross-domain Correspondence Learning for Exemplar-based Image Translation. (CVPR 2020 Oral)
Обновлено 2022-12-07 08:35:12 +03:00
Sample solution that demonstrates how to deploy and analyze spaceborne data using Azure Synapse Analytics
Обновлено 2022-11-11 10:58:23 +03:00
Connect(); 2018 - AI Visual Provision Sample App
Обновлено 2022-09-21 21:21:06 +03:00
This is an official implementation of CvT: Introducing Convolutions to Vision Transformers.
Обновлено 2022-06-22 07:21:09 +03:00
A complete end-to-end demonstration in which we collect training data in Unity and use that data to train a deep neural network to predict the pose of a cube. This model is then deployed in a simulated robotic pick-and-place task.
Обновлено 2022-04-13 20:50:31 +03:00
Land cover mapping of the Orinoquía region in Colombia, in collaboration with Wildlife Conservation Society Colombia. An #AIforEarth project
Обновлено 2021-03-13 01:26:16 +03:00
R interface to the Computer Vision API
Обновлено 2021-01-12 22:34:52 +03:00