Abstract: Autonomous vehicles increasingly rely on camera-based computer vision systems to perceive environments and make critical driving decisions. To improve image quality, image stabilizers with ...

The new framework solves AI's "data bottleneck" by automatically generating high-quality training examples from raw screen ...

Labeling images is a costly and slow process in many computer vision projects. It often introduces bias and reduces the ability to scale large datasets. Therefore, researchers have been looking for ...

According to CNBC, Apple is nearing a deal to acquire “talent and technology” of computer vision startup Prompt AI. Here are the details. The report says that Apple’s deal with Prompt seems all but ...

Abstract: Vision Transformer (ViT) has gained increasing attention in the computer vision community in recent years. How-ever, the core component of ViT, Self-Attention, lacks ex-plicit spatial priors ...