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Eagle-DEIM:Dual-Stream Decoupled Transformer for Air-to-Air Tiny UAV Detection

https://doi.org/10.2139/ssrn.6427616
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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-031-26409-2_27openalex-snapshot
No More Strided Convolutions or Pooling: A New CNN Building Block for Low-Resolution Images and Small Objects
inferredcites →https://doi.org/10.1007/978-3-319-10602-1_48openalex-snapshot
Microsoft COCO: Common Objects in Context
inferredcites →https://doi.org/10.1007/978-3-319-46448-0_2openalex-snapshot
SSD: Single Shot MultiBox Detector
inferredcites →https://doi.org/10.1016/j.cosrev.2023.100614openalex-snapshot
Deep learning for unmanned aerial vehicles detection: A review
inferredcites →https://doi.org/10.1016/j.isprsjprs.2022.06.002openalex-snapshot
Detecting tiny objects in aerial images: A normalized Wasserstein distance and a new benchmark
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/lra.2021.3056059openalex-snapshot
Air-to-Air Visual Detection of Micro-UAVs: An Experimental Evaluation of Deep Learning
inferredcites →https://doi.org/10.1109/smc53992.2023.10394415openalex-snapshot
AFPN: Asymptotic Feature Pyramid Network for Object Detection
inferredcites →https://doi.org/10.1109/tits.2022.3177627openalex-snapshot
Vision-Based Anti-UAV Detection and Tracking
inferredcites →https://doi.org/10.1109/tits.2024.3350920openalex-snapshot
VDTNet: A High-Performance Visual Network for Detecting and Tracking of Intruding Drones
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/10.3390/drones8070337openalex-snapshot
EDGS-YOLOv8: An Improved YOLOv8 Lightweight UAV Detection Model
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