We propose semantic region-adaptive normalization (SEAN), a simple but effective building block for Generative Adversarial Networks conditioned on segmentation masks that describe the semantic regions in the desired output image. Using SEAN normaliza...
This repository provides a semantic search system over the lewtun/github-issues dataset using sentence-transformers/multi-qa-mpnet-base-dot-v1. It allows developers to find the most relevant issue titles, descriptions, and solutions based on query meaning rather than keywords. FA…
Discover openinference-semantic-conventions in the com.arize namespace. Explore metadata, contributors, the Maven POM file, and more.
Take an in-depth tour of Microsoft's new Agent Framework— converged runtime for Semantic Kernel + AutoGen. From prototyping single agents with Azure OpenAI, ...
Learn about Semantic Kernel
This document provides an overview of Jetpack libraries, explaining their independent update cycle, semantic versioning scheme, and the criteria for Alpha, Beta, and Release Candidate stages, along with a table of their latest stable and preview versions.
This document provides an overview of Jetpack libraries, explaining their independent update cycle, semantic versioning scheme, and the criteria for Alpha, Beta, and Release Candidate stages, along with a table of their latest stable and preview versions.
Semantic parsing (SP) allows humans to leverage vast knowledge resources through natural interaction. However, parsers are mostly designed for and evaluated on English resources, such as CFQ (Keysers et al., 2020), the current standard benchmark base...
These results are a contribution to the model theory of matrix consequence. We give a semantic characterization of uniform and couniform consequence relations. These properties have never been treated individually, at least in a semantic manner. We c...
Monocular 3D Semantic Scene Completion (SSC) has garnered significant attention in recent years due to its potential to predict complex semantics and geometry shapes from a single image, requiring no 3D inputs. In this paper, we identify several crit...
Projeto de Mestrado de Eudes Diônatas (⭐ 0)
Semantic communication is a novel communication paradigm which draws inspiration from human communication focusing on the delivery of the meaning of a message to the intended users. It has attracted significant interest recently due to its potential...
The growing proliferation of distributed information systems, allows organizations to offer their business processes to a worldwide audience through Web services. Semantic Web services have emerged as a means to achieve the vision of automatic discov...
This project contains code for a fully convolutional neural network (FCN) for semantic segmentation with a region of interest (ROI) map as an additional input (Figure 1). The net receives image and ROI as a binary map with pixels corresponding to ROI marked 1, and produce pixel-w…
This paper reviews the state-of-the-art of semantic change computation, one emerging research field in computational linguistics, proposing a framework that summarizes the literature by identifying and expounding five essential components in the fiel...
Modularization and granulation are key concepts in educational content management, whereas teaching, learning and understanding require a discourse within thematic contexts. Even though hyperlinks and semantically typed references provide the conte...
This paper explores novel approaches for improving the spatial codification for the pooling of local descriptors to solve the semantic segmentation problem. We propose to partition the image into three regions for each object to be described: Figure,...
Probabilistic Logic Programming (PLP) under the Distribution Semantics is a leading approach to practical reasoning under uncertainty. An advantage of the Distribution Semantics is its suitability for implementation as a Prolog or Python library, ava...
Mapping and understanding complex 3D environments is fundamental to how autonomous systems perceive and interact with the physical world, requiring both precise geometric reconstruction and rich semantic comprehension. While existing 3D semantic mapp...
Recent work on audio-visual navigation assumes a constantly-sounding target and restricts the role of audio to signaling the target's position. We introduce semantic audio-visual navigation, where objects in the environment make sounds consistent wit...