Home /

Research

Showing 685 - 690 / 904

After All, Only The Last Neuron Matters: Comparing Multi-modal Fusion Functions for Scene Graph Generation


Authors:  MohamedKarimBelaid....
Published date-11/09/2020
Tasks:  GraphGeneration, SceneGraphGeneration, SemanticSegmentation

Abstract: From object segmentation to word vector representations, Scene Graph Generation (SGG) became a complex task built upon numerous research results. In this paper, we focus on the last module of …

CxGBERT: BERT meets Construction Grammar


Authors:  HarishTayyarMadabushi, LaurenceRomain, DagmarDivjak....
Published date-11/09/2020

Abstract: While lexico-semantic elements no doubt capture a large amount of linguistic information, it has been argued that they do not capture all information contained in text. This assumption is central …

Chapter Captor: Text Segmentation in Novels


Authors:  CharutaPethe, AllenKim, StevenSkiena....
Published date-11/09/2020

Abstract: Books are typically segmented into chapters and sections, representing coherent subnarratives and topics. We investigate the task of predicting chapter boundaries, as a proxy for the general task of segmenting …

Sparsely constrained neural networks for model discovery of PDEs


Authors:  Gert-JanBoth, RemyKusters....
Published date-11/09/2020

Abstract: Sparse regression on a library of candidate features has developed as the prime method to discover the PDE underlying a spatio-temporal dataset. As these features consist of higher order derivatives, …

Bangla Text Classification using Transformers


Authors:  TanvirulAlam, AkibKhan, FirojAlam....
Published date-11/09/2020
Tasks:  SentimentAnalysis, TextClassification

Abstract: Text classification has been one of the earliest problems in NLP. Over time the scope of application areas has broadened and the difficulty of dealing with new areas (e.g., noisy …

Unified Quality Assessment of In-the-Wild Videos with Mixed Datasets Training


Authors:  DingquanLi, TingtingJiang, MingJiang....
Published date-11/09/2020
Tasks:  VideoQualityAssessment

Abstract: Video quality assessment (VQA) is an important problem in computer vision. The videos in computer vision applications are usually captured in the wild. We focus on automatically assessing the quality …

Filter by

Categories

Tags