Viso.ai

AUGUST 1, 2024

DensePose is a Deep Learning model for dense human pose estimation which was released by researchers at Facebook in 2010. Feature Extraction with a Convolutional Neural Network (CNN): In this first step of the process, DensePose passes the given image into a pre-trained Convolutional Neural Network (CNN), such as ResNet.

Convolutional Neural Networks 52

Convolutional Neural Networks Neural Network Deep Learning Computer Vision 52

Flipboard

JULY 31, 2023

Nowadays, with the advent of deep learning and convolutional neural networks, this process can be automated, allowing the model to learn the most relevant features directly from the data. a convolutional neural network), which then learns to map the features of each image to its correct label.

Machine Learning 123

Machine Learning Computer Vision Deep Learning Convolutional Neural Networks 123

ML Review

JUNE 4, 2018

These ideas also move in step with the explainability of results. If language grounding is achieved, then the network tells me how a decision was reached. In image captioning a network is not only required to classify objects, but instead to describe objects (including people and things) and their relations in a given image.

Neural Network 52

Neural Network Convolutional Neural Networks Computer Vision Deep Learning 52