Results 31 to 40 of about 5,574,901 (259)
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
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 +3 more sources
AGR Dataset: Aircraft Ground Refueling Dataset
This dataset associates with our publication entitled: " AGR: A Dataset for Autonomous Aircraft Refueling on the Ground". An aircraft ground refueling dataset (AGR dataset) is created and made available to the community, and the AGR dataset has been ...
Boyu Kuang (5335835) +3 more
core +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
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
Scandinavian Conference on Image Analysis ...
Juan Pablo Lagos +2 more
openaire +4 more sources
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
A Survey on Deep-Learning-Based Real-Time SAR Ship Detection
Recently, deep learning has greatly promoted the development of synthetic aperture radar (SAR) ship detection. But the detectors are usually heavy and computation intensive, which hinder the usage on the edge.
Jianwei Li +5 more
doaj +1 more source
ABSTRACT Background Embryonal tumors comprise the majority of malignant central nervous system (CNS) neoplasms diagnosed in children under 3 years of age. Compared with their counterparts in older children, these tumors exhibit distinct molecular biology and a more aggressive clinical phenotype, while their management is complicated by the heightened ...
Sudarshawn Damodharan +3 more
wiley +1 more source

