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Revolutionizing Robotic Surgery with Neural Networks: Overcoming Catastrophic Forgetting through Privacy-Preserving Continual Learning in Semantic Segmentation

Marktechpost

Deep Neural Networks (DNNs) excel in enhancing surgical precision through semantic segmentation and accurately identifying robotic instruments and tissues. However, they face catastrophic forgetting and a rapid decline in performance on previous tasks when learning new ones, posing challenges in scenarios with limited data.

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Deep Learning Techniques for Autonomous Driving: An Overview

Marktechpost

These technologies have revolutionized computer vision, robotics, and natural language processing and played a pivotal role in the autonomous driving revolution. In this framework, an agent, like a self-driving car, navigates an environment based on observed sensory data, taking actions to maximize cumulative future rewards.

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Synthetic Data: A Model Training Solution

Viso.ai

In this article, we’ll discuss the following: What is synthetic data? Organizations can easily source data to promote the development, deployment, and scaling of their computer vision applications. Viso Suite is the End-to-End, No-Code Computer Vision Platform – Learn more What is Synthetic Data?

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Convolutional Neural Networks: A Deep Dive (2024)

Viso.ai

In the following, we will explore Convolutional Neural Networks (CNNs), a key element in computer vision and image processing. Whether you’re a beginner or an experienced practitioner, this guide will provide insights into the mechanics of artificial neural networks and their applications.

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Achieving accurate image segmentation with limited data: strategies and techniques

deepsense.ai

This support set is presented to the neural network, and the expectation is for the network to correctly classify unseen examples of the newly introduced concept. SegGPT Many successful approaches from NLP are now being translated into computer vision. Source: [link]. Source: own study.

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Computer Vision Tasks (Comprehensive 2024 Guide)

Viso.ai

Computer vision (CV) is a rapidly evolving area in artificial intelligence (AI), allowing machines to process complex real-world visual data in different domains like healthcare, transportation, agriculture, and manufacturing. Future trends and challenges Viso Suite is an end-to-end computer vision platform.

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What is Transfer Learning in Deep Learning? [Examples & Application]

Pickl AI

Thus it reduces the amount of data and computational need. Transfer Learning has various applications like computer vision, NLP, recommendation systems, and robotics. This technology allows models to be fine-tuned using a limited amount of data.