Nettet1. sep. 2014 · JOM (Joint Optimization Metamodel) is proposed, as a cognitive artifact to help conceptualize and model joint optimization, and five types of JO are identified resulting from conceptual evaluation ... NettetTowards Effective Visual Representations for Partial-Label Learning ... Anchor-to-Joint Transformer Network for 3D Interacting Hand Pose Estimation from a Single RGB Image ... LASP: Text-to-Text Optimization for Language-Aware Soft Prompting of Vision & Language Models

On equilibrium solutions to joint optimization problems in …

Nettet21. jan. 2016 · Abstract: A joint optimization problem of link-layer energy efficiency (EE) and effective capacity (EC) in a Nakagami-m fading channel under a delay-outage … Nettet27. mar. 2013 · The bag-of-words (BoW) model has been known as an effective method for large-scale image search and indexing. Recent work shows that the performance of the model can be further improved by using the embedding method. While different variants of the BoW model and embedding method have been developed, less effort has been … jerome tairi

Joint Optimization Toward Effective and Efficient Image Search

Nettet2. mar. 2024 · Using joint optimization of both directions, the proposed model is able to learn upscaling and downscaling simultaneously and achieve bidirectional arbitrary image rescaling. It improves the performance of current arbitrary upscaling models by a large margin while at the same time learns to maintain visual perception quality in … NettetTo validate these observations in a real image search, we propose an effective and efficient image search scheme, in which the BoW model and embedding method are jointly optimized in terms of effectiveness and efficiency by following these observations. http://mepro.bjtu.edu.cn/res/papers/2013/Joint%20Optimization%20Toward%20Effective%20and%20Efficient%20Image%20Search.pdf jerome tan cll