Marktechpost

JULY 14, 2023

This image representation comes under a broad category of Computer Vision and Convolutional Neural Networks. Researchers developed a Composed image retrieval (CIR) system to have a minimal loss, but the problem with this method was that it requires a large dataset for training the model.

Convolutional Neural Networks 94

Convolutional Neural Networks AI Researcher AI Research Neural Network 94

AI Weekly

OCTOBER 26, 2023

clkmg.com In The News How Meta and AI companies recruited striking actors to train AI Hollywood actors are on strike over concerns about the use of AI, but for as little as $300, Meta and a company called Realeyes hired them to make avatars appear more human. androidguys.com Ethics Should we be afraid of AI?

Neural Network 201

Neural Network Convolutional Neural Networks Robotics Deep Learning 201

Marktechpost

JUNE 19, 2023

Instance segmentation refers to the computer vision task of identifying and differentiating multiple objects that belong to the same class within an image by treating them as distinct entities. For instance, convolutional neural networks (CNNs) and other progressive architectures such as Mask R-CNN are used for instance segmentation.

AI Researcher 56

AI Researcher AI Research Convolutional Neural Networks Computer Vision 56

Marktechpost

OCTOBER 21, 2023

To combine computer-generated visuals or deduce the physical characteristics of a scene from pictures, computer graphics, and 3D computer vision groups have been working to create physically realistic models for decades. All Credit For This Research Goes To the Researchers on This Project.

Artificial Intelligence 129

Artificial Intelligence Artificial Intelligence Convolutional Neural Networks Neural Network 129

Marktechpost

JUNE 30, 2023

The first step depends on using a detector based on a Convolutional Neural Network (CNN). They show that a real-time model for any arbitrary data segment is feasible using the computational efficiency of convolutional neural networks (CNNs).

Convolutional Neural Networks 103

Convolutional Neural Networks Neural Network AI Tools AI Researcher 103

Marktechpost

JUNE 24, 2023

They also evaluate the method against a state-of-the-art convolutional neural network (CNN) model used for forensic picture classification and find that their methods perform better. According to the team, their method can be easily compromised by a cropping attack, which is a major disadvantage.

Convolutional Neural Networks 106

Convolutional Neural Networks Neural Network Artificial Intelligence Artificial Intelligence 106

Marktechpost

JUNE 22, 2023

Paella utilizes a pre-trained encoder-decoder architecture based on a convolutional neural network, with the capacity to represent a 256×256 image using 256 tokens selected from a set of 8,192 tokens learned during pretraining. The model was trained on 900 million image-text pairs from LAION-5B aesthetic dataset.

Convolutional Neural Networks 106

Convolutional Neural Networks AI Modeling Neural Network AI Tools 106