Instance Segmentation 比 Semantic Segmentation 难很多吗？
Image semantic segmentation 到 Image instance segmentation的过渡，难度在哪？网络模型的设计上主要…
AdrianaSaty/colinha-commit-semantico
Repositório com colinha para criar commits semanticos (⭐ 236)
Probability and Angelic Nondeterminism with Multiset Semantics
We introduce a version of probabilistic Kleene algebra with angelic nondeterminism and a corresponding class of automata. Our approach implements semantics via distributions over multisets in order to overcome theoretical barriers arising from the la...
Translating OWL and Semantic Web Rules into Prolog: Moving Toward Description Logic Progra…
To appear in Theory and Practice of Logic Programming (TPLP), 2008. We are researching the interaction between the rule and the ontology layers of the Semantic Web, by comparing two options: 1) using OWL and its rule extension SWRL to develop an...
Small but Mighty: Enhancing 3D Point Clouds Semantic Segmentation with U-Next Framework
We study the problem of semantic segmentation of large-scale 3D point clouds. In recent years, significant research efforts have been directed toward local feature aggregation, improved loss functions and sampling strategies. While the fundamental fr...
Cognitive algorithms and systems of episodic memory, semantic memory and their learnings
Declarative memory, the memory that can be "declared" in words or languages, is made up of two dissociated parts: episodic memory and semantic memory. This dissociation has its neuroanatomical basis episodic memory is mostly associated with the hippo...
Topological properties and organizing principles of semantic networks
Interpreting natural language is an increasingly important task in computer algorithms due to the growing availability of unstructured textual data. Natural Language Processing (NLP) applications rely on semantic networks for structured knowledge rep...
ASPER: Attention-based Approach to Extract Syntactic Patterns denoting Semantic Relations…
Semantic relationships, such as hyponym-hypernym, cause-effect, meronym-holonym etc. between a pair of entities in a sentence are usually reflected through syntactic patterns. Automatic extraction of such patterns benefits several downstream tasks, i...
Presentation semantics - Wikipedia
In computer science, particularly in human-computer interaction, presentation semantics specify how a particular piece of a formal language is represented
Semantic-ontological combination of Business Rules and Business Processes in IT Service Ma…
IT Service Management deals with managing a broad range of items related to complex system environments. As there is both, a close connection to business interests and IT infrastructure, the application of semantic expressions which are seamlessly in...
Tube2Vec: Social and Semantic Embeddings of YouTube Channels
Research using YouTube data often explores social and semantic dimensions of channels and videos. Typically, analyses rely on laborious manual annotation of content and content creators, often found by low-recall methods such as keyword search. Here,...
AceWiki: A Natural and Expressive Semantic Wiki
We present AceWiki, a prototype of a new kind of semantic wiki using the controlled natural language Attempto Controlled English (ACE) for representing its content. ACE is a subset of English with a restricted grammar and a formal semantics. The us...
Hoops, Coops and the Algebraic Semantics of Continuous Logic
Büchi and Owen studied algebraic structures called hoops. Hoops provide a natural algebraic semantics for a class of substructural logics that we think of as intuitionistic analogues of the widely studied Łukasiewicz logics. Ben Yaacov extended Łu...
DIViS: Domain Invariant Visual Servoing for Collision-Free Goal Reaching
Robots should understand both semantics and physics to be functional in the real world. While robot platforms provide means for interacting with the physical world they cannot autonomously acquire object-level semantics without needing human. In this...
Off-Road LiDAR Intensity Based Semantic Segmentation
LiDAR is used in autonomous driving to provide 3D spatial information and enable accurate perception in off-road environments, aiding in obstacle detection, mapping, and path planning. Learning-based LiDAR semantic segmentation utilizes machine learn...
Semantic Novelty Trajectories in 80,000 Books: A Cross-Corpus Embedding Analysis
I apply Schmidhuber's compression progress theory of interestingness at corpus scale, analyzing semantic novelty trajectories in more than 80,000 books spanning two centuries of English-language publishing. Using sentence-transformer paragraph embedd...
See More Than Once -- Kernel-Sharing Atrous Convolution for Semantic Segmentation
The state-of-the-art semantic segmentation solutions usually leverage different receptive fields via multiple parallel branches to handle objects with different sizes. However, employing separate kernels for individual branches degrades the generaliz...
Technical Considerations for Semantic Segmentation in MRI using Convolutional Neural Netwo…
High-fidelity semantic segmentation of magnetic resonance volumes is critical for estimating tissue morphometry and relaxation parameters in both clinical and research applications. While manual segmentation is accepted as the gold-standard, recent a...
Semantic Scholar | Product
Semantic Scholar provides free, AI-driven research tools and open resources for all researchers. Search and cite any papers, manage your reading lists in your personal library, and get AI-powered paper …
Tutorial | Semantic Scholar Academic Graph API
The Semantic Scholar REST API uses standard HTTP verbs, response codes, and authentication. This tutorial will teach you how to interact with the API by sending requests and analyzing the responses.