Výsledky vyhledávání

Report

DriveEnv-NeRF: Exploration of A NeRF-Based Autonomous Driving Environment for Real-World Performance Validation

Autor: Shen, Mu-Yi, Hsu, Chia-Chi, Hou, Hao-Yu, Huang, Yu-Chen, Sun, Wei-Fang, Chang, Chia-Che, Liu, Yu-Lun, Lee, Chun-Yi

In this study, we introduce the DriveEnv-NeRF framework, which leverages Neural Radiance Fields (NeRF) to enable the validation and faithful forecasting of the efficacy of autonomous driving agents in a targeted real-world scene. Standard simulator-b

Externí odkaz: http://arxiv.org/abs/2403.15791

Zobrazit plný text záznamu

Report

Chat Vector: A Simple Approach to Equip LLMs with Instruction Following and Model Alignment in New Languages

Autor: Huang, Shih-Cheng, Li, Pin-Zu, Hsu, Yu-Chi, Chen, Kuang-Ming, Lin, Yu Tung, Hsiao, Shih-Kai, Tsai, Richard Tzong-Han, Lee, Hung-yi

Recently, the development of open-source large language models (LLMs) has advanced rapidly. Nevertheless, due to data constraints, the capabilities of most open-source LLMs are primarily focused on English. To address this issue, we introduce the con

Externí odkaz: http://arxiv.org/abs/2310.04799

Zobrazit plný text záznamu

Report

MVA2023 Small Object Detection Challenge for Spotting Birds: Dataset, Methods, and Results

Publikováno v: 2023 18th International Conference on Machine Vision and Applications (MVA)

Small Object Detection (SOD) is an important machine vision topic because (i) a variety of real-world applications require object detection for distant objects and (ii) SOD is a challenging task due to the noisy, blurred, and less-informative image a

Externí odkaz: http://arxiv.org/abs/2307.09143

Zobrazit plný text záznamu

Report

Numerical analysis and optimization of a hybrid layer structure for triplet-triplet fusion mechanism in organic light-emitting diodes

Autor: Huang, Jun-Yu, Hung, Hsiao-Chun, Hsu, Kung-Chi, Chen, Chia-Hsun, Lee, Pei-Hsi, Lin, Hung-Yi, Lin, Bo-Yen, Leung, Man-kit, Chiu, Tien-Lung, Lee, Jiun-Haw, Friend, Richard H., Wu, Yuh-Renn

Publikováno v: Adv. Theory Simul. 2022, 2200633

In this study, we develop a steady state and time-dependent exciton diffusion model including singlet and triplet excitons coupled with a modified Poisson and drift-diffusion solver to explain the mechanism of hyper triplet-triplet fusion (TTF) organ

Externí odkaz: http://arxiv.org/abs/2305.19540

Zobrazit plný text záznamu

Plný text ve formátu HTML

Vyhledávací nástroje:

Upřesnit hledání