Resource-Restricted Environments Based Memory-Efficient Compressed Convolutional Neural Network Model for Image-Level Object Classification
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2022.3230008
Abstract: In the past decade, Convolutional Neural Networks (CNNs) have achieved tremendous success in solving complex classification problems. CNN architectures require an excessive number of computations to achieve high accuracy. However, these models are deficient due… read more here.
Keywords: classification; image level; resource; level object ... See more keywords
RandMixAugment: A Novel Unified Technique for Region- and Image-Level Data Augmentations
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Access"
DOI: 10.1109/access.2023.3305385
Abstract: Deep learning models learn powerful representational spaces required for handling complex tasks. Recently, data augmentation techniques, region-level, and image-level augmentation have proved effective in significantly improving deep learning models’ generalization performance. Nevertheless, such methods may… read more here.
Keywords: deep learning; level; image level; augmentation ... See more keywords
LAGAN: Lesion-Aware Generative Adversarial Networks for Edema Area Segmentation in SD-OCT Images
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Journal of Biomedical and Health Informatics"
DOI: 10.1109/jbhi.2023.3252665
Abstract: Large volume of labeled data is a cornerstone for deep learning (DL) based segmentation methods. Medical images require domain experts to annotate, and full segmentation annotations of large volumes of medical data are difficult, if… read more here.
Keywords: level labels; image level; segmentation; lesion aware ... See more keywords
Self-Supervised SAR-Optical Data Fusion of Sentinel-1/-2 Images
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2021.3128072
Abstract: The effective combination of the complementary information provided by huge amount of unlabeled multisensor data (e.g., synthetic aperture radar (SAR) and optical images) is a critical issue in remote sensing. Recently, contrastive learning methods have… read more here.
Keywords: sar optical; image level; fusion; land cover ... See more keywords
Weakly Supervised Semantic Segmentation in Aerial Imagery via Explicit Pixel-Level Constraints
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3224477
Abstract: In recent years, image-level weakly supervised semantic segmentation (WSSS) has developed rapidly in natural scenes due to the easy availability of classification tags. However, limited to complex backgrounds, multicategory scenes, and dense small targets in… read more here.
Keywords: weakly supervised; image level; level; segmentation ... See more keywords
Image-Level Adaptive Adversarial Ranking for Person Re-Identification
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2024.3456000
Abstract: The potential vulnerability of deep neural networks and the complexity of pedestrian images, greatly limits the application of person re-identification techniques in the field of smart security. Current attack methods often focus on generating carefully… read more here.
Keywords: image; person identification; level adaptive; image level ... See more keywords
Cyclic Learning: Bridging Image-level Labels and Nuclei Instance Segmentation.
Sign Up to like & getrecommendations! Published in 2023 at "IEEE transactions on medical imaging"
DOI: 10.1109/tmi.2023.3275609
Abstract: Nuclei instance segmentation on histopathology images is of great clinical value for disease analysis. Generally, fully-supervised algorithms for this task require pixel-wise manual annotations, which is especially time-consuming and laborious for the high nuclei density.… read more here.
Keywords: nuclei instance; image level; instance segmentation; instance ... See more keywords
Limited midlevel mediation of visual crowding: Surface completion fails to support uncrowding
Sign Up to like & getrecommendations! Published in 2024 at "Journal of Vision"
DOI: 10.1167/jov.24.1.11
Abstract: Visual crowding refers to impaired object recognition that is caused by nearby stimuli. It increases with eccentricity. Image-level explanations of crowding maintain that it is caused by information loss within early encoding processes that vary… read more here.
Keywords: midlevel mediation; image level; mediation;
GPU-accelerated iterative method for FD-OCT image reconstruction with an image-level cross-domain regularizer.
Sign Up to like & getrecommendations! Published in 2023 at "Optics express"
DOI: 10.1364/oe.478970
Abstract: The image reconstruction for Fourier-domain optical coherence tomography (FD-OCT) could be achieved by iterative methods, which offer a more accurate estimation than the traditional inverse discrete Fourier transform (IDFT) reconstruction. However, the existing iterative methods… read more here.
Keywords: oct image; image level; reconstruction; image reconstruction ... See more keywords
FHB-Net: a severity level evaluation model for wheat Fusarium head blight based on image-level annotated aerial RGB images
Sign Up to like & getrecommendations! Published in 2025 at "Frontiers in Plant Science"
DOI: 10.3389/fpls.2025.1549896
Abstract: A leading concern for global wheat production, Fusarium head blight (FHB) can cause yield losses of up to 50% during severe epidemics. The cultivation of FHB-resistant wheat varieties is widely acknowledged as a highly effective… read more here.
Keywords: level; wheat; image level; severity level ... See more keywords
Prediction of anemia using facial images and deep learning technology in the emergency department
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Public Health"
DOI: 10.3389/fpubh.2022.964385
Abstract: Background According to the WHO, anemia is a highly prevalent disease, especially for patients in the emergency department. The pathophysiological mechanism by which anemia can affect facial characteristics, such as membrane pallor, has been proven… read more here.
Keywords: emergency department; image level; anemia; level ... See more keywords