WebThe resulting model is fully probabilistic and versatile, yet efficient and straightforward to apply in practical applications in place of traditional deep nets. Keywords: Sum-Product Networks, Deep Probabilistic Models, Image Representations 1. Introduction Sum-Product Networks (Poon and Domingos, 2011) are deep models with unique ... Web5 de out. de 2024 · In this work, we describe a different computational framework to hide images in deep probabilistic models. Specifically, we use a DNN to model the …
HiNet: Deep Image Hiding by Invertible Network Request PDF
WebHiding Images in Deep Probabilistic Models Haoyu Chen · Linqi Song · Zhenxing Qian · Xinpeng Zhang · Kede Ma: Workshop Probabilistic Mixture Modeling For End-Member Extraction in Hyperspectral Data Oliver Hoidn ... BinauralGrad: A Two-Stage Conditional Diffusion Probabilistic Model for Binaural Audio Synthesis Web31 de mai. de 2024 · Probabilistic deep learning is deep learning that accounts for uncertainty, both model uncertainty and data uncertainty. It is based on the use of probabilistic models and deep neural networks. We distinguish two approaches to probabilistic deep learning: probabilistic neural networks and deep probabilistic … camper led lighting
[2210.02257] Hiding Images in Deep Probabilistic Models
Web15 de jun. de 2024 · Out-of-distribution (OOD) detection is an important task in machine learning systems for ensuring their reliability and safety. Deep probabilistic generative models facilitate OOD detection by estimating the likelihood of a data sample. However, such models frequently assign a suspiciously high likelihood to a specific outlier. Several … Web25 de nov. de 2024 · Abstract. In this work, we propose an end-to-end trainable model of Generative Adversarial Networks (GAN) which is engineered to hide audio data in images. Due to the non-stationary property of audio signals and lack of powerful tools, audio hiding in images was not explored well. We devised a deep generative model that consists of … Web10 de jan. de 2024 · Specifically, we develop an invertible hiding neural network (IHNN) to innovatively model the image concealing and revealing as its forward and backward processes, making them fully coupled and ... first tech challenge winners