Pixel-Level Contrastive Pretrainer for Industrial Image Representation
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2024.3353860
Abstract: Industrial quality inspection aims to identify defective parts in industrial production processes. Commonly used methods for industrial quality inspection rely on feature representations that have been pretrained on natural image datasets, such as ImageNet. However,… read more here.
Keywords: pixel level; industrial image; image; representation ... See more keywords
Unsupervised Maritime Vessel Re-Identification With Multi-Level Contrastive Learning
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2023.3243591
Abstract: Re-identification (re-ID) of maritime vessels plays an important role in marine surveillance, but remains highly unexplored due to the lack of large-scale annotated datasets. In vessel re-ID, contrastive methods are supposed to learn discriminative representation… read more here.
Keywords: identification; multi level; level; level contrastive ... See more keywords
Multipattern Mining Using Pattern-Level Contrastive Learning and Multipattern Activation Map.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2022.3218073
Abstract: Visual patterns are basic elements in images and represent the discernible regularity in the visual world. Thus, mining visual patterns is a fundamental task in computer vision. Most previous studies consider that only one visual… read more here.
Keywords: learning multipattern; multipattern activation; level contrastive; pattern level ... See more keywords