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A Hybrid Multi-Modal Framework for Automated Rice Disease Detection from Images and Textual Descriptions

https://doi.org/10.2139/ssrn.5165055
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inferredcites →https://doi.org/10.1002/jsfa.10365openalex-snapshot
Detection of rice plant diseases based on deep transfer learning
inferredcites →https://doi.org/10.1007/978-0-387-22757-3openalex-snapshot
The Laplace Transform: Theory and Applications
inferredcites →https://doi.org/10.1007/978-3-030-01234-2_1openalex-snapshot
CBAM: Convolutional Block Attention Module
inferredcites →https://doi.org/10.1007/978-3-030-89929-5openalex-snapshot
Recurrent Neural Networks
inferredcites →https://doi.org/10.1016/j.asoc.2024.111392openalex-snapshot
DNNAM: Image inpainting algorithm via deep neural networks and attention mechanism
inferredcites →https://doi.org/10.1016/j.comnet.2022.109283openalex-snapshot
Unbalanced network attack traffic detection based on feature extraction and GFDA-WGAN
inferredcites →https://doi.org/10.1016/j.compag.2024.109484openalex-snapshot
LVF: A language and vision fusion framework for tomato diseases segmentation
inferredcites →https://doi.org/10.1016/j.eswa.2023.121352openalex-snapshot
Large Separable Kernel Attention: Rethinking the Large Kernel Attention design in CNN
inferredcites →https://doi.org/10.1016/j.ijleo.2022.170348openalex-snapshot
RETRACTED: An optimization based feature extraction and machine learning techniques for named entity identification
inferredcites →https://doi.org/10.1016/j.knosys.2025.113012openalex-snapshot
Pseudo-label enhancement for weakly supervised object detection using self-supervised vision transformer
inferredcites →https://doi.org/10.1016/j.knosys.2025.113030openalex-snapshot
DDC: Dynamic distribution calibration for few-shot learning under multi-scale representation
inferredcites →https://doi.org/10.1016/j.micpath.2023.106326openalex-snapshot
Enhancing defense against rice blast disease: Unveiling the role of leaf endophytic firmicutes in antifungal antibiosis and induced systemic resistance
inferredcites →https://doi.org/10.1016/j.procs.2022.01.135openalex-snapshot
A Review of Yolo Algorithm Developments
inferredcites →https://doi.org/10.1016/j.tws.2024.112495openalex-snapshot
Physics-informed Neural Networks (PINN) for computational solid mechanics: Numerical frameworks and applications
inferredcites →https://doi.org/10.1038/s41598-024-66950-wopenalex-snapshot
Underwater small target detection under YOLOv8-LA model
inferredcites →https://doi.org/10.1080/00401706.1974.10489142openalex-snapshot
Spline Functions in Data Analysis
inferredcites →https://doi.org/10.1109/access.2019.2943454openalex-snapshot
Rapid Detection of Rice Disease Based on FCM-KM and Faster R-CNN Fusion
inferredcites →https://doi.org/10.1109/access.2022.3140815openalex-snapshot
Rice-Fusion: A Multimodality Data Fusion Framework for Rice Disease Diagnosis
inferredcites →https://doi.org/10.1109/access.2024.3371584openalex-snapshot
Steel Surface Defect Detection Using Improved Deep Learning Algorithm: ECA-SimSPPF-SIoU-Yolov5
inferredcites →https://doi.org/10.1109/cvpr.2019.00075openalex-snapshot
Generalized Intersection Over Union: A Metric and a Loss for Bounding Box Regression
inferredcites →https://doi.org/10.1109/cvpr42600.2020.01079openalex-snapshot
EfficientDet: Scalable and Efficient Object Detection
inferredcites →https://doi.org/10.1109/cvpr42600.2020.01155openalex-snapshot
ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks
inferredcites →https://doi.org/10.1109/cvpr46437.2021.01178openalex-snapshot
Explore Image Deblurring via Encoded Blur Kernel Space
inferredcites →https://doi.org/10.1109/cvpr46437.2021.01350openalex-snapshot
Coordinate Attention for Efficient Mobile Network Design
inferredcites →https://doi.org/10.1109/cvpr52688.2022.00095openalex-snapshot
ISNet: Shape Matters for Infrared Small Target Detection
inferredcites →https://doi.org/10.1109/cvpr52729.2023.00596openalex-snapshot
SCConv: Spatial and Channel Reconstruction Convolution for Feature Redundancy
inferredcites →https://doi.org/10.1109/cvpr52729.2023.00721openalex-snapshot
YOLOv7: Trainable Bag-of-Freebies Sets New State-of-the-Art for Real-Time Object Detectors
inferredcites →https://doi.org/10.1109/cvpr52733.2024.01599openalex-snapshot
YOLO-World: Real-Time Open-Vocabulary Object Detection
inferredcites →https://doi.org/10.1109/cvpr52733.2024.01605openalex-snapshot
DETRs Beat YOLOs on Real-time Object Detection
inferredcites →https://doi.org/10.1109/icassp39728.2021.9414568openalex-snapshot
SA-Net: Shuffle Attention for Deep Convolutional Neural Networks
inferredcites →https://doi.org/10.1109/icassp49357.2023.10096516openalex-snapshot
Efficient Multi-Scale Attention Module with Cross-Spatial Learning
inferredcites →https://doi.org/10.1109/tgrs.2023.3241097openalex-snapshot
Multiscale Diff-Changed Feature Fusion Network for Hyperspectral Image Change Detection
inferredcites →https://doi.org/10.1109/tnnls.2018.2876865openalex-snapshot
Object Detection With Deep Learning: A Review
inferredcites →https://doi.org/10.1109/tpami.2016.2577031openalex-snapshot
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
inferredcites →https://doi.org/10.1111/mice.13330openalex-snapshot
A hierarchical progressive recognition network for building change detection in high‐resolution remote sensing images
inferredcites →https://doi.org/10.1186/1471-2105-7-485openalex-snapshot
Machine learning techniques in disease forecasting: a case study on rice blast prediction
inferredcites →https://doi.org/10.1609/aaai.v34i07.6999openalex-snapshot
Distance-IoU Loss: Faster and Better Learning for Bounding Box Regression
inferredcites →https://doi.org/10.2139/ssrn.4463661openalex-snapshot
Large Separable Kernel Attention: Rethinking the Large Kernel Attention Design in Cnn
inferredcites →https://doi.org/10.3390/make5040083openalex-snapshot
A Comprehensive Review of YOLO Architectures in Computer Vision: From YOLOv1 to YOLOv8 and YOLO-NAS
inferredcites →https://doi.org/10.3390/rs11050531openalex-snapshot
Automatic Ship Detection Based on RetinaNet Using Multi-Resolution Gaofen-3 Imagery
inferredcites →https://doi.org/10.3390/s23052567openalex-snapshot
Underwater Object Detection Using TC-YOLO with Attention Mechanisms
inferredcites →https://doi.org/10.34133/plantphenomics.0042openalex-snapshot
A Precise Image-Based Tomato Leaf Disease Detection Approach Using PLPNet
inferredcites →https://doi.org/10.34133/plantphenomics.0168openalex-snapshot
A Precise Framework for Rice Leaf Disease Image–Text Retrieval Using FHTW-Net
inferredcites →https://doi.org/10.34133/plantphenomics.0218openalex-snapshot
AISOA-SSformer: An Effective Image Segmentation Method for Rice Leaf Disease Based on the Transformer Architecture
inferredcites →https://doi.org/10.34133/plantphenomics.0220openalex-snapshot
A Multi-Modal Open Object Detection Model for Tomato Leaf Diseases with Strong Generalization Performance Using PDC-VLD
inferredcites →https://doi.org/10.4230/lipics.cosit.2022.18openalex-snapshot
AI-Assisted Pipeline for Dynamic Generation of Trustworthy Health Supplement Content at Scale
inferredcites →https://doi.org/10.48550/arxiv.1709.01507openalex-snapshot
Squeeze-and-Excitation Networks
inferredcites →https://doi.org/10.48550/arxiv.2102.03334openalex-snapshot
ViLT: Vision-and-Language Transformer Without Convolution or Region Supervision
inferredcites →https://doi.org/10.48550/arxiv.2105.01601openalex-snapshot
MLP-Mixer: An all-MLP Architecture for Vision
inferredcites →https://doi.org/10.48550/arxiv.2108.08688openalex-snapshot
Contrastive Language-Image Pre-training for the Italian Language
inferredcites →https://doi.org/10.48550/arxiv.2112.05561openalex-snapshot
Global Attention Mechanism: Retain Information to Enhance Channel-Spatial Interactions
inferredcites →https://doi.org/10.48550/arxiv.2205.12740openalex-snapshot
SIoU Loss: More Powerful Learning for Bounding Box Regression
inferredcites →https://doi.org/10.48550/arxiv.2301.10051openalex-snapshot
Wise-IoU: Bounding Box Regression Loss with Dynamic Focusing Mechanism
inferredcites →https://doi.org/10.48550/arxiv.2304.08069openalex-snapshot
DETRs Beat YOLOs on Real-time Object Detection
inferredcites →https://doi.org/10.48550/arxiv.2311.02877openalex-snapshot
Inner-IoU: More Effective Intersection over Union Loss with Auxiliary Bounding Box
inferredcites →https://doi.org/10.48550/arxiv.2404.19756openalex-snapshot
KAN: Kolmogorov-Arnold Networks
inferredcites →https://doi.org/10.48550/arxiv.2410.17725openalex-snapshot
YOLOv11: An Overview of the Key Architectural Enhancements
inferredcites →https://doi.org/10.52202/075280-0198openalex-snapshot
Multi-modal Queried Object Detection in the Wild
inferredcites →https://doi.org/10.52202/079017-3429openalex-snapshot
YOLOv10: Real-Time End-to-End Object Detection
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