Low-Light Outdoor Smoke Detection Based on Unsupervised Pre-Training
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Access"
DOI: 10.1109/access.2024.3467395
Abstract: Urbanization and industrial expansion have increased the severity of outdoor smoke pollution. Machine vision has been rarely applied to low-light outdoor smoke detection, while related areas such as the detection of low-light vehicles, faces, and… read more here.
Keywords: detection; outdoor smoke; low light; unsupervised pre ... See more keywords
Unsupervised Pre-Training for Detection Transformers.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on pattern analysis and machine intelligence"
DOI: 10.1109/tpami.2022.3216514
Abstract: DEtection TRansformer (DETR) for object detection reaches competitive performance compared with Faster R-CNN via a transformer encoder-decoder architecture. However, trained with scratch transformers, DETR needs large-scale training data and an extreme long training schedule even… read more here.
Keywords: unsupervised pre; detr; detection; query ... See more keywords
Fast and scalable neural embedding models for biomedical sentence classification
Sign Up to like & getrecommendations! Published in 2018 at "BMC Bioinformatics"
DOI: 10.1186/s12859-018-2496-4
Abstract: BackgroundBiomedical literature is expanding rapidly, and tools that help locate information of interest are needed. To this end, a multitude of different approaches for classifying sentences in biomedical publications according to their coarse semantic and… read more here.
Keywords: classification; pre training; sentence ordering; training ... See more keywords