Results 41 to 50 of about 4,988,933 (261)
State-of-the-art deep neural networks are trained with large amounts (millions or even billions) of data. The expensive computation and memory costs make it difficult to train them on limited hardware resources, especially for recent popular large language models (LLM) and computer vision models (CV).
Daquan Zhou +7 more
openaire +2 more sources
Model distillation aims to distill the knowledge of a complex model into a simpler one. In this paper, we consider an alternative formulation called dataset distillation: we keep the model fixed and instead attempt to distill the knowledge from a large training dataset into a small one.
Tongzhou Wang 0001 +3 more
openaire +2 more sources
Scandinavian Conference on Image Analysis ...
Juan Pablo Lagos +2 more
openaire +2 more sources
4Weed Dataset: Annotated Imagery Weeds Dataset
Weeds are a major threat to crops and are responsible for reducing crop yield worldwide. To mitigate their negative effect, it is advantageous to accurately identify them early in the season to prevent their spread throughout the field. Traditionally, farmers rely on manually scouting fields and applying herbicides for different weeds.
Varun Aggarwal +3 more
openaire +2 more sources
The Mainz Cuneiform Benchmark Dataset Series: Sign Annotations of 3D Rendered Tablets
This paper introduces the Mainz Cuneiform Benchmark Dataset (MaiCuBeDa) and the Mainz Cuneiform Benchmark Dataset for the Haft Tappeh Collection (MaiCuBeDa HT), two datasets of cuneiform sign annotations on renderings of 3D models of cuneiform tablets ...
Timo Homburg +3 more
doaj +1 more source
Modeling of the Hodgkin–Huxley neural oscillators dynamics using an artificial neural network [PDF]
The purpose of this study — to represent a detailed description of the procedure for creating and training a neural network mapping on the example of the dynamics modeling of a neural oscillator of the Hodgkin–Huxley type; to show that the ...
Kuptsov, Pavel Vladimirovich +1 more
doaj +1 more source
Designing the Minimum Data Set for National Scorpion Sting Registry in Iran [PDF]
Background: Scorpion stings are one of the major medical problems in tropical and subtropical regions of underdeveloped countries, causing several complications including severe local skin reactions, renal, neurological, cardiovascular, and respiratory ...
Mehraban Shahi +3 more
doaj +1 more source
SAR Ship Detection Dataset (SSDD): Official Release and Comprehensive Data Analysis
SAR Ship Detection Dataset (SSDD) is the first open dataset that is widely used to research state-of-the-art technology of ship detection from Synthetic Aperture Radar (SAR) imagery based on deep learning (DL). According to our investigation, up to 46.59%
Tianwen Zhang +15 more
doaj +1 more source
Due to the all-time and all-weather characteristics of synthetic aperture radar (SAR) data, they have become an important input for optical image restoration, and various cloud removal datasets based on SAR-optical have been proposed.
Yuxi Wang +7 more
doaj +1 more source
Measurements of LoRaWAN Technology in Urban Scenarios: A Data Descriptor
This work is a data descriptor paper for measurements related to various operational aspects of LoRaWAN communication technology collected in Brno, Czech Republic. This paper also provides data characterizing the long-term behavior of the LoRaWAN channel
Pavel Masek +8 more
doaj +1 more source

