Hyperspectral Image Classification With Contrastive Self-Supervised Learning Under Limited Labeled Samples
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2022.3159549
Abstract: Hyperspectral image (HSI) classification is an active research topic in remote sensing. Supervised learning-based methods have been widely used in HSI classification tasks due to their powerful feature extraction capabilities for cases of sufficiently labeled… read more here.
Keywords: classification; supervised learning; self supervised; contrastive self ... See more keywords
Coarse-to-Fine Contrastive Self-Supervised Feature Learning for Land-Cover Classification in SAR Images With Limited Labeled Data
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2022.3211472
Abstract: Contrastive self-supervised learning (CSSL) has achieved promising results in extracting visual features from unlabeled data. Most of the current CSSL methods are used to learn global image features with low-resolution that are not suitable or… read more here.
Keywords: classification; self supervised; sar images; coarse fine ... See more keywords
A Novel Contrastive Self-Supervised Learning Framework for Solving Data Imbalance in Solder Joint Defect Detection
Sign Up to like & getrecommendations! Published in 2023 at "Entropy"
DOI: 10.3390/e25020268
Abstract: Poor chip solder joints can severely affect the quality of the finished printed circuit boards (PCBs). Due to the diversity of solder joint defects and the scarcity of anomaly data, it is a challenging task… read more here.
Keywords: solder; framework; self supervised; contrastive self ... See more keywords