Rectifying Pseudo Label Learning via Uncertainty Estimation for Domain Adaptive Semantic Segmentation
Sign Up to like & getrecommendations! Published in 2021 at "International Journal of Computer Vision"
DOI: 10.1007/s11263-020-01395-y
Abstract: This paper focuses on the unsupervised domain adaptation of transferring the knowledge from the source domain to the target domain in the context of semantic segmentation. Existing approaches usually regard the pseudo label as the… read more here.
Keywords: pseudo label; semantic segmentation; domain; uncertainty ... See more keywords
Pseudo-Label-Free Weakly Supervised Semantic Segmentation Using Image Masking
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3149587
Abstract: Weakly-supervised semantic segmentation (WSSS) aims to train a semantic segmentation network using weak labels. Recent approaches generate the pseudo-label from the image-level label and then exploit it as a pixel-level supervision in the segmentation network… read more here.
Keywords: network; weakly supervised; pseudo label; segmentation ... See more keywords
Graph Domain Adversarial Network With Dual-Weighted Pseudo-Label Loss for Hyperspectral Image Classification
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2021.3135310
Abstract: A hyperspectral image (HSI) classification method named graph domain adversarial network with dual-weighted pseudo-label loss (GDAN-DWPL) is proposed in this letter. First, in order to extract more discriminative features, GDAN is applied to the transfer… read more here.
Keywords: label loss; pseudo label; weighted pseudo; dual weighted ... See more keywords
Pseudo Label Based on Multiple Clustering for Unsupervised Cross-Domain Person Re-Identification
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2020.3016528
Abstract: Person re-identification (Re-ID) has achieved great improvement with the development of deep learning. However, domain adaptation in unsupervised Re-ID has always been a challenging task. Most existing works based on clustering only cluster once, which… read more here.
Keywords: person; pseudo label; person identification; multiple clustering ... See more keywords
Pseudo-Label-Vector-Guided Parallel Attention Network for Remaining Useful Life Prediction
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2022.3202832
Abstract: Prognostic health management (PHM) has become important in many industries as a critical technology to increase machine stability and operational efficiency. Recently, various methods using deep learning to estimate the remaining useful life (RUL) as… read more here.
Keywords: useful life; pseudo label; remaining useful; prediction ... See more keywords