OmniAID is a universal AI-generated image detector designed for real-world, in-the-wild scenarios. Most existing detectors collapse under distribution shift because they entangle high-level semantic ...

Abstract: Vision Transformer (ViT) has shown impressive performance in image restoration due to its ability to capture a large receptive field. However, its complexity grows quadratically with input ...

Computer scientist Jieneng Chen wants to digitize the physical world. He is the inventor of TransUNet, an ...

Spread the love“`html Understanding how to create a neural network can be a game-changer in the fields of artificial intelligence and machine learning. As industries increasingly rely on data-driven ...

BlackSky's planned AROS wide-area surveillance satellites will tip and cue its Gen-3 birds designed for rapid revisit. (Image: BlackSky) WASHINGTON ― The National Reconnaissance Office (NRO) has ...

Abstract: Image deblurring is a challenging image task, which is regarded as a classical inverse problem. Deep primal-dual proximal network (DeepPDNet) is recently proposed which unrolls the Condat-V ...

Deep diffractive neural networks have emerged as an all-optical computing paradigm that overcomes the bottlenecks of traditional electronic computing. However, traditional deep diffractive neural ...

We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors ...

At BIT Mesra in Ranchi, a three-woman team has trained AI to detect and analyse lunar craters. The ISRO-backed work could support crater dating, navigation planning and future Moon landing missions.