Results 21 to 30 of about 49,820 (279)

CoCo: Efficient Browser Extension Vulnerability Detection via Coverage-guided, Concurrent Abstract Interpretation

open access: yesConference on Computer and Communications Security, 2023
Extensions complement web browsers with additional functionalities and also bring new vulnerability venues, allowing privilege escalations from adversarial web pages to use extension APIs.
Jianjia Yu   +3 more
semanticscholar   +1 more source

Methods of continuation and their implementation in the COCO software platform with application to delay differential equations [PDF]

open access: yesNonlinear dynamics, 2021
This paper treats comprehensively the construction of problems from nonlinear dynamics and constrained optimization amenable to parameter continuation techniques and with particular emphasis on multi-segment boundary-value problems with delay.
Zaid Ahsan   +3 more
semanticscholar   +1 more source

COCO-Search18 fixation dataset for predicting goal-directed attention control

open access: yesScientific Reports, 2021
Attention control is a basic behavioral process that has been studied for decades. The currently best models of attention control are deep networks trained on free-viewing behavior to predict bottom-up attention control – saliency.
Yupei Chen   +5 more
semanticscholar   +1 more source

Crisscrossed Captions: Extended Intramodal and Intermodal Semantic Similarity Judgments for MS-COCO [PDF]

open access: yesConference of the European Chapter of the Association for Computational Linguistics, 2020
By supporting multi-modal retrieval training and evaluation, image captioning datasets have spurred remarkable progress on representation learning. Unfortunately, datasets have limited cross-modal associations: images are not paired with other images ...
Zarana Parekh   +4 more
semanticscholar   +1 more source

COCO-GAN: Generation by Parts via Conditional Coordinating [PDF]

open access: yesIEEE International Conference on Computer Vision, 2019
Humans can only interact with part of the surrounding environment due to biological restrictions. Therefore, we learn to reason the spatial relationships across a series of observations to piece together the surrounding environment.
Chieh Hubert Lin   +5 more
semanticscholar   +1 more source

CoCo-Agent: A Comprehensive Cognitive MLLM Agent for Smartphone GUI Automation [PDF]

open access: yesAnnual Meeting of the Association for Computational Linguistics
Multimodal large language models (MLLMs) have shown remarkable potential as human-like autonomous language agents to interact with real-world environments, especially for graphical user interface (GUI) automation.
Xinbei Ma, Zhuosheng Zhang, Hai Zhao
semanticscholar   +1 more source

Carboxymethyl Bacterial Cellulose from Nata de Coco: Effects of NaOH

open access: yesPolymers, 2021
Bacterial cellulose from nata de coco was prepared from the fermentation of coconut juice with Acetobacter xylinum for 10 days at room temperature under sterile conditions.
P. Rachtanapun   +13 more
semanticscholar   +1 more source

COCONut: Modernizing COCO Segmentation [PDF]

open access: yesComputer Vision and Pattern Recognition
In recent decades, the vision community has witnessed remarkable progress in visual recognition, partially owing to advancements in dataset benchmarks.
Xueqing Deng   +4 more
semanticscholar   +1 more source

COCO: a platform for comparing continuous optimizers in a black-box setting [PDF]

open access: yesOptim. Methods Softw., 2016
We introduce COCO, an open-source platform for Comparing Continuous Optimizers in a black-box setting. COCO aims at automatizing the tedious and repetitive task of benchmarking numerical optimization algorithms to the greatest possible extent.
N. Hansen   +4 more
semanticscholar   +1 more source

GAN‐LSTM‐3D: An efficient method for lung tumour 3D reconstruction enhanced by attention‐based LSTM

open access: yesCAAI Transactions on Intelligence Technology, EarlyView., 2023
Abstract Three‐dimensional (3D) image reconstruction of tumours can visualise their structures with precision and high resolution. In this article, GAN‐LSTM‐3D method is proposed for 3D reconstruction of lung cancer tumours from 2D CT images. Our method consists of three phases: lung segmentation, tumour segmentation, and tumour 3D reconstruction. Lung
Lu Hong   +12 more
wiley   +1 more source

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