CybAI news

[Submitted on 22 Nov 2024] View a PDF of the paper titled Leapfrog Latent Consistency Model (LLCM) for Medical Images Generation, by Lakshmikar R. Polamreddy and Kalyan Roy and Sheng-Han Yueh and Deepshikha Mahato and Shilpa Kuppili and Jialu Li and Youshan Zhang View PDF HTML (experimental) Abstract:The scarcity of accessible medical image data poses a significant obstacle in effectively training deep learning models for medical diagnosis, as hospitals refrain from sharing their data due to privacy concerns. In response, we gathered a diverse dataset named MedImgs, which comprises over 250,127 images spanning 61 disease types and 159 classes of…

[Submitted on 2 Aug 2024 (v1), last revised 22 Nov 2024 (this version, v2)] View a PDF of the paper titled WaveMamba: Spatial-Spectral Wavelet Mamba for Hyperspectral Image Classification, by Muhammad Ahmad and 3 other authors View PDF HTML (experimental) Abstract:Hyperspectral Imaging (HSI) has proven to be a powerful tool for capturing detailed spectral and spatial information across diverse applications. Despite the advancements in Deep Learning (DL) and Transformer architectures for HSI classification, challenges such as computational efficiency and the need for extensive labeled data persist. This paper introduces WaveMamba, a novel approach that integrates wavelet transformation with the spatial-spectral…

arXiv:2411.15087v1 Announce Type: cross Abstract: Recent works on Generalized Referring Expression Segmentation (GRES) struggle with handling complex expressions referring to multiple distinct objects. This is because these methods typically employ an end-to-end foreground-background segmentation and lack a mechanism to explicitly differentiate and associate different object instances to the text query. To this end, we propose InstAlign, a method that incorporates object-level reasoning into the segmentation process. Our model leverages both text and image inputs to extract a set of object-level tokens that capture both the semantic information in the input prompt and the objects within the image. By modeling the…

AI is everywhere. In just a couple of years, this technology has evolved significantly and is transforming the way most of us do business. And yet, many organizations continue to grapple with how they can really integrate AI into their daily operations. It’s critical that this changes soon. To thrive in the age of AI, companies must do more than simply adopt AI. They must embrace an iterative approach, continuously learning and adapting as the technology evolves. In this article, I’ll share four commitments that companies should make to transition to full AI adopters. Understand Your Business Challenges AI for…

arXiv:2411.14468v1 Announce Type: new Abstract: In the previous article, we introduced a neural network framework based on symmetric differential equations. This novel framework exhibits complete symmetry, endowing it with perfect mathematical properties. While we have examined some of the system's mathematical characteristics, a detailed discussion of the network training methodology has not yet been presented. Drawing on the principles of the traditional backpropagation algorithm, this study proposes an alternative training approach that utilizes differential equation signal propagation instead of chain rule derivation. This approach not only preserves the effectiveness of training but also offers enhanced biological interpretability. The foundation of…