Multi-object multi-part scene segmentation is a challenging task whose complexity scales exponentially with part granularity and number of scene objects. To address the task, we propose a plug-and-play approach termed OLAF. First, we augment the input (RGB) with channels containing object-based ...
[CV]《AnyV2V: A Plug-and-Play Framework For Any Video-to-Video Editing Tasks》M Ku, C Wei, W Ren, H Yang, W Chen [University of Waterloo & Harmony.AI] (2024) http://t.cn/A6TUZjD8 #机器学习##人工智...
IowaStateUniversityDigitalRepository@IowaStateUniversityGraduateTesesandDissertationsGraduateCollege2010AplugandplayframeworkforanHVACairhandlingunitandtemperaturesensorautorecognitiontechniqueXiaohuiZhouIowaStateUniversityFollowthisandadditionalworksat:h p://lib.dr.iastate.edu/etdPartoftheMechanicalEngineeringCommonsTis...
\quad 即插即用框架(plug-and-play framework)最早应用于图像恢复(image restoration)领域,它可以实现模块化(modular structure)的网络结构,DNN中的每个部分各司其职,并且可以在整体结构改动很小的情况下,实现各个模块的装卸和更替。 \quad 总的来说,你可以认为Plug-and-Play framework是把设计模式引入到了深度学习...
The repository consists of a recognition engine, variety of acoustic models and language models as well as Japanese morphological analysis tools. These modules can be easily integrated and replaced under a plug-and-play framework, which makes it possible to fairly evaluate components and to develop ...
A plug-and-play framework for theories of social group dynamics / Matthias Rehm, Birgit Endra, Elisabeth Andr茅. - In: Intelligent virtual agents : 6th International Conference, IVA 2006, MarinaDel Rey, CA, USA, August 21 - 23, 2006 ; proceedings. - Berlin [u.a.] : Springer, 2006. ...
and is thus challenging for many low-resourced KBs that lack annotated data. To this end, we proposeKB-Plugin, a plug-and-play framework that enables LLMs to induce programs over any low-resourced KB. Firstly, KB-Plugin adopts self-supervised learning to encode the detailed schema information...
在正式介绍 Plug-and-Play 前, 我们先来看如何处理最大化后验概率估计: minx12σ2‖Ax−y‖2+φ(x). 直接针对x进行优化往往困难重重, 我们可以引入辅助变量v, 将上述问题等价转化为约束优化问题 minx12σ2‖Ax−y‖2+φ(v),s.t.x=v.
This framework, which we term as Plug-and-Play priors, has the advantage that it dramatically simplifies software integration, and moreover, it allows state-of-the-art denoising methods that have no known formulation as an optimization problem to be used. We demonstrate with some simp...