FG-UNet: fine-grained feature-guided UNet for segmentation of weeds and crops in UAV images.
Sign Up to like & getrecommendations! Published in 2024 at "Pest management science"
DOI: 10.1002/ps.8489
Abstract: BACKGROUND Semantic segmentation of weed and crop images is a key component and prerequisite for automated weed management. For weeds in unmanned aerial vehicle (UAV) images, which are usually characterized by small size and easily… read more here.
Keywords: feature guided; segmentation; grained feature; fine grained ... See more keywords
Improve Fine-Grained Feature Learning in Fine-Grained DataSet GAI
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Access"
DOI: 10.1109/access.2024.3520503
Abstract: This article starts from the perspective of breaking the integrity of the feature matrix, dividing it into retained and sacrificed parts, and using the sacrificed parts to strengthen the retained parts. We propose SpiltAtt and… read more here.
Keywords: feature learning; grained feature; improve fine; fine grained ... See more keywords
CPDD: A Cross-Scenario Photovoltaic Defect Detector Based on Fine-Grained Feature Autoencoding and Pseudo-Box Contrastive Learning
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Semiconductor Manufacturing"
DOI: 10.1109/tsm.2025.3570323
Abstract: The vision foundation model, relying on large-scale pre-training, has advanced image comprehension capabilities and excels in general scenarios. However, its performance remains suboptimal in specialized tasks, such as photovoltaic (PV) cells defect detection. This limitation… read more here.
Keywords: contrastive learning; grained feature; fine grained; pseudo ... See more keywords