Sign Up to like & get
recommendations!
1
Published in 2022 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2021.3132912
Abstract: Few-shot learning aims to recognize novel classes from only a few labeled training examples. Aligning semantically relevant local regions has shown promise in effectively comparing a query image with support images. However, global information is…
read more here.
Keywords:
information;
semantic alignment;
global local;
shot learning ... See more keywords
Sign Up to like & get
recommendations!
1
Published in 2022 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2022.3186714
Abstract: Supervised cross-modal image-text hashing has aroused extensive concentrations in comprehending the correspondence between vision and language for data search tasks. Existing methods learn the compact hash codes by leveraging a given image-text data pairs or…
read more here.
Keywords:
joint semantic;
semantic alignment;
cross modal;
image text ... See more keywords
Sign Up to like & get
recommendations!
1
Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3184691
Abstract: Transfer learning (TL) offers an effective way to reduce the demand for labeled samples in remote sensing image classification. However, existing TL methods have some limitations. Simple linear TL methods cannot align the source and…
read more here.
Keywords:
transfer learning;
subspace linear;
semantic alignment;
linear semantic ... See more keywords
Sign Up to like & get
recommendations!
0
Published in 2021 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2021.3090521
Abstract: Video moment localization, as an important branch of video content analysis, has attracted extensive attention in recent years. However, it is still in its infancy due to the following challenges: cross-modal semantic alignment and localization…
read more here.
Keywords:
semantic alignment;
moment localization;
cross modal;
localization ... See more keywords
Sign Up to like & get
recommendations!
1
Published in 2022 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2022.3184821
Abstract: Conventional object detection models require large amounts of training data. In comparison, humans can recognize previously unseen objects by merely knowing their semantic description. To mimic similar behavior, zero-shot object detection (ZSD) aims to recognize…
read more here.
Keywords:
semantic alignment;
visual semantic;
polarity loss;
detection ... See more keywords
Sign Up to like & get
recommendations!
2
Published in 2023 at "Cognitive Science"
DOI: 10.1111/cogs.13248
Abstract: Abstract When communicating, people adapt their linguistic representations to those of their interlocutors. Previous studies have shown that this also occurs at the semantic level for vague and context‐dependent terms such as quantifiers and uncertainty…
read more here.
Keywords:
interaction;
semantic alignment;
linguistic interaction;
active linguistic ... See more keywords