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Multi-Modal Spatio-Temporal Learning for Defect Recognition of Substation Equipment Using Tri-Modality Videos
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End-to-End Object Detection with Transformers
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Temporal Segment Networks: Towards Good Practices for Deep Action Recognition
inferredcites →https://doi.org/10.1007/s00371-021-02166-7openalex-extracted
A survey on deep multimodal learning for computer vision: advances, trends, applications, and datasets
inferredcites →https://doi.org/10.1007/s11633-022-1369-5openalex-extracted
VLP: A Survey on Vision-language Pre-training
inferredcites →https://doi.org/10.1016/j.arcontrol.2020.09.002openalex-extracted
Data analysis in visual power line inspection: An in-depth review of deep learning for component detection and fault diagnosis
inferredcites →https://doi.org/10.1016/j.cviu.2006.08.010openalex-extracted
Multi-spectral and multi-perspective video arrays for driver body tracking and activity analysis
inferredcites →https://doi.org/10.1016/j.ijepes.2022.108567openalex-extracted
Multi-modal information analysis for fault diagnosis with time-series data from power transformer
inferredcites →https://doi.org/10.1016/j.imavis.2022.104483openalex-extracted
MEmoR: A Multimodal Emotion Recognition using affective biomarkers for smart prediction of emotional health for people analytics in smart industries
inferredcites →https://doi.org/10.1016/j.imavis.2023.104676openalex-extracted
Multimodal emotion recognition using cross modal audio-video fusion with attention and deep metric learning
inferredcites →https://doi.org/10.1016/j.jag.2023.103429openalex-extracted
Real-time remote sensing detection framework of the earth's surface anomalies based on a priori knowledge base
inferredcites →https://doi.org/10.1016/j.patcog.2023.110084openalex-extracted
MPCCT: Multimodal vision-language learning paradigm with context-based compact Transformer
inferredcites →https://doi.org/10.1016/j.rsase.2017.08.010openalex-extracted
Analysis of landcover change in southwest Bengal delta due to floods by NDVI, NDWI and K-means cluster with landsat multi-spectral surface reflectance satellite data
inferredcites →https://doi.org/10.1109/access.2019.2916887openalex-extracted
Deep Multimodal Representation Learning: A Survey
inferredcites →https://doi.org/10.1109/access.2020.3016213openalex-extracted
Fault Diagnosis of Power Transmission Lines Using a UAV-Mounted Smart Inspection System
inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-extracted
Deep Residual Learning for Image Recognition
inferredcites →https://doi.org/10.1109/cvpr.2017.502openalex-extracted
Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset
inferredcites →https://doi.org/10.1109/cvpr52729.2023.00112openalex-extracted
Multispectral Video Semantic Segmentation: A Benchmark Dataset and Baseline
inferredcites →https://doi.org/10.1109/icpics55264.2022.9873623openalex-extracted
Tri-modality fusion imaging system for the electric power industry
inferredcites →https://doi.org/10.1109/msp.2017.2738401openalex-extracted
Deep Multimodal Learning: A Survey on Recent Advances and Trends
inferredcites →https://doi.org/10.1109/tdei.2018.007545openalex-extracted
Diagnosis of abnormal temperature rise observed on a 275 kV oil-filled cable surface — A case study
inferredcites →https://doi.org/10.1109/tgrs.2018.2863224openalex-extracted
Learning Spectral-Spatial-Temporal Features via a Recurrent Convolutional Neural Network for Change Detection in Multispectral Imagery
inferredcites →https://doi.org/10.1109/tpami.2018.2798607openalex-extracted
Multimodal Machine Learning: A Survey and Taxonomy
inferredcites →https://doi.org/10.1109/tpami.2023.3275156openalex-extracted
Multimodal Learning With Transformers: A Survey
inferredcites →https://doi.org/10.1117/1.oe.54.12.123106openalex-extracted
Multispectral detection and tracking of multiple moving targets in cluttered urban environments
inferredcites →https://doi.org/10.1609/aaai.v35i12.17325openalex-extracted
Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting
inferredcites →https://doi.org/10.1609/aaai.v37i9.26317openalex-extracted
Are Transformers Effective for Time Series Forecasting?
inferredcites →https://doi.org/10.3390/en13020392openalex-extracted
Deep Learning Image-Based Defect Detection in High Voltage Electrical Equipment
inferredcites →https://doi.org/10.3390/s19133014openalex-extracted
Fault Detection in Power Equipment via an Unmanned Aerial System Using Multi Modal Data
inferredcites →https://doi.org/10.3390/s23156821openalex-extracted
A Survey of Image-Based Fault Monitoring in Additive Manufacturing: Recent Developments and Future Directions
inferredcites →https://doi.org/10.3390/su13020557openalex-extracted
Infrared Thermal Image-Based Sustainable Fault Detection for Electrical Facilities
inferredcites →https://doi.org/10.4230/lipics.itp.2023.19openalex-extracted
Exploiting Generative AI to Scale up Intelligent Tutoring Systems
inferredcites →https://doi.org/10.48550/arxiv.2002.05709openalex-extracted
A Simple Framework for Contrastive Learning of Visual Representations
inferredcites →https://doi.org/10.48550/arxiv.2007.14062openalex-extracted
Big Bird: Transformers for Longer Sequences
inferredcites →https://doi.org/10.48550/arxiv.2010.11929openalex-extracted
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
inferredcites →https://doi.org/10.48550/arxiv.2103.00020openalex-extracted
Learning Transferable Visual Models From Natural Language Supervision
inferredcites →https://doi.org/10.48550/arxiv.2106.08254openalex-extracted
BEiT: BERT Pre-Training of Image Transformers
inferredcites →https://doi.org/10.5324/nordis.v0i26.3283openalex-extracted
Performance of UV and IR Sensors for Inspections of Power Equipment
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