Segmentation / Neural Networks and Deep Learning

MedSAM2: Open Source SOTA 3D Medical Image and Video Segmentation Model

13 April 2025

MedSAM2: Open Source SOTA 3D Medical Image and Video Segmentation Model

Medical image segmentation plays a critical role in precision medicine, enabling more accurate diagnosis, treatment planning, and quantitative analysis. While significant progress has been made in developing both specialized and…

Hugging Face and Pollen Robotics Introduce Reachy2 – an Open-Source Robot for Household Tasks

10 June 2024

Hugging Face and Pollen Robotics Introduce Reachy2 – an Open-Source Robot for Household Tasks

Hugging Face and Pollen Robotics unveiled the anthropomorphic robot Reachy2, whose training dataset and model are open-source. Reachy2 performs household tasks and interacts safely with people and pets. Pollen Robotics…

DeepMind Trains AlphaGeometry Model to Solve Olympiad Geometry Problems

21 January 2024

DeepMind Trains AlphaGeometry Model to Solve Olympiad Geometry Problems

DeepMind has unveiled AlphaGeometry – a model capable of solving geometric problems at the level of International Mathematical Olympiad winners. AlphaGeometry solved 25 out of 30 Olympiad problems, while on…

14 Free Courses on Machine Learning, Data Science, Data Analysis, and Python

30 August 2023

free machine learning data science analysis python courses

14 Free Courses on Machine Learning, Data Science, Data Analysis, and Python

The prevailing trend in online education is the rise of Massive Open Online Courses (MOOCs). Free courses on machine learning, data science, data analysis, and Python are readily available, based…

Fake It Till You Make It: Microsoft synthetic face images dataset

9 October 2021

Fake It Till You Make It: Microsoft synthetic face images dataset

Microsoft has introduced a dataset of synthetic facial images Fake It Till You Make It. The dataset is aimed at pre-training facial recognition algorithms before being used in real-world scenarios.…

U-Net: Image Segmentation Network

23 November 2018

U-Net: Image Segmentation Network

U-Net is considered one of the standard CNN architectures for image classification tasks, when we need not only to define the whole image by its class but also to segment areas of…

Synthesising Images of Humans in Unseen Poses

19 July 2018

Synthesising Images of Humans in Unseen Poses

Humans have an incredible capability to imagine things in a different context. At the core of our intelligence are the imagination and learning from experience. Both of these things are…

Image Editing Becomes Easy with Semantically Meaningful Objects Generated

3 July 2018

Image Editing Becomes Easy with Semantically Meaningful Objects Generated

Image editing and compositing could be a fascinating creative process unless you need to spend most of your time on the tedious task of object selection. The process becomes even…

FAIR Proposed a New Partially Supervised Trading Paradigm to Segment Every Thing

26 June 2018

FAIR Proposed a New Partially Supervised Trading Paradigm to Segment Every Thing

Object detectors have become significantly more accurate and gained new capabilities. One of the most exciting is the ability to predict a foreground segmentation mask for each detected object, a…

Blazingly Fast Video Object Segmentation with Pixel-Wise Metric Learning

12 June 2018

Blazingly Fast Video Object Segmentation with Pixel-Wise Metric Learning

The immeasurable amount of multimedia data is recorded and shared in the current era of the Internet. Among it, a video is one of the most common and rich modalities,…