Results 11 to 20 of about 5,017,046 (339)
TPH-YOLOv5: Improved YOLOv5 Based on Transformer Prediction Head for Object Detection on Drone-captured Scenarios [PDF]
2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), 2021 Object detection on drone-captured scenarios is a recent popular task. As drones always navigate in different altitudes, the object scale varies violently, which burdens the optimization of networks.
Xingkui Zhu +3 more
semanticscholar +1 more source
LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression [PDF]
Annual Meeting of the Association for Computational Linguistics, 2023 In long context scenarios, large language models (LLMs) face three main challenges: higher computational cost, performance reduction, and position bias. Research indicates that LLM performance hinges on the density and position of key information in the ...
Huiqiang Jiang +6 more
semanticscholar +1 more source
DSEC: A Stereo Event Camera Dataset for Driving Scenarios [PDF]
IEEE Robotics and Automation Letters, 2021 Once an academic venture, autonomous driving has received unparalleled corporate funding in the last decade. Still, operating conditions of current autonomous cars are mostly restricted to ideal scenarios.
Mathias Gehrig +3 more
semanticscholar +1 more source
Robust Test-Time Adaptation in Dynamic Scenarios [PDF]
Computer Vision and Pattern Recognition, 2023 Test-time adaptation (TTA) intends to adapt the pretrained model to test distributions with only unlabeled test data streams. Most of the previous TTA methods have achieved great success on simple test data streams such as independently sampled data from
Longhui Yuan, Binhui Xie, Shuangliang Li
semanticscholar +1 more source
MetaDrive: Composing Diverse Driving Scenarios for Generalizable Reinforcement Learning [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021 Driving safely requires multiple capabilities from human and intelligent agents, such as the generalizability to unseen environments, the safety awareness of the surrounding traffic, and the decision-making in complex multi-agent settings.
Quanyi Li +4 more
semanticscholar +1 more source
Learning to Answer Questions in Dynamic Audio-Visual Scenarios [PDF]
Computer Vision and Pattern Recognition, 2022 In this paper, we focus on the Audio-Visual Question Answering (AVQA) task, which aims to answer questions regarding different visual objects, sounds, and their associations in videos.
Guangyao Li +5 more
semanticscholar +1 more source
Journal of medical systems, 2023 This paper aims to highlight the potential applications and limits of a large language model (LLM) in healthcare. ChatGPT is a recently developed LLM that was trained on a massive dataset of text for dialogue with users. Although AI-based language models
M. Cascella +3 more
semanticscholar +1 more source
Climate Endgame: Exploring catastrophic climate change scenarios
Proceedings of the National Academy of Sciences of the United States of America, 2022 Prudent risk management requires consideration of bad-to-worst-case scenarios. Yet, for climate change, such potential futures are poorly understood.
Luke Kemp +10 more
semanticscholar +1 more source
The Global Macroeconomic Impacts of COVID-19: Seven Scenarios
Asian Economic Papers, 2020 COVID-19 has disrupted the Chinese economy and is spreading globally. The evolution of the disease and its economic impacts are highly uncertain, making formulation of appropriate macroeconomic policy responses challenging.
Warwick McKibbin, Roshen Fernando
semanticscholar +1 more source
fastsimcoal2: demographic inference under complex evolutionary scenarios
Bioinform., 2021 Motivation fastsimcoal2 extends fastsimcoal, a continuous time coalescent-based genetic simulation program, by enabling the estimation of demographic parameters under very complex scenarios from the site frequency spectrum under a maximum-likelihood ...
L. Excoffier +5 more
semanticscholar +1 more source