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AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
Similar papers
Open access
2026
An Enhanced Multi-Object Tracking Model Used in Low-Frame-Rate Video
Low-Frame-Rate Multi-Object Tracking (LFR-MOT) is proposed, a purely appearance-based tracker that removes motion prediction entirely and relies on re-identification (ReID)-based appearance features with a two-stage matching strategy to handle detection uncertainty.
Yen-Jen Chang, Bing-Han Lin, You-Sheng Lin
· IEEE Access · 0 citations
Conference
Sep 2026
GSC-ByteTrack: a motion-aware and scale-adaptive multi-object tracking framework
The proposed framework effectively balances detection sensitivity and association stability, providing a robust and efficient solution for UAV multi-object tracking in complex traffic scenarios.
Lin-Zhao Cui, Zhao-Yu Liu, Yu Chen
· International Conference on... · 0 citations
Preprint
Aug 2026
Cross-View Sequential Visual Localization with Spatio-Temporal Context Modeling for Autonomous Driving
The proposed recurrent cross-frame module aggregates historical context from the previous state to enhance the coarse ground feature of each current frame and facilitates satellite candidate-region classification and hierarchical fine-grained features enable precise local offset estimation.
Jia-Ping Wang, Shaobo Li, Zhen Wang
· 0 citations
Open access
2026
Streamlined Multi-Object Tracking With Fuzzy Kalman Filtering and Shape-Aware Association Strategies
The YOLOv8 family of models excels in object detection and demonstrates competitive performance relative to other methods; however, utilizing these models in resource-limited environments for real-time tracking presents challenges. This study introduces an innovative pedestrian tracking system that integrates a lightwe...
Sheeba Razzaq, M. I. Khan, Amil Roohani Dar et al.
· IEEE Access · 0 citations
IMM-based Multiple Object Tracking using a State Prediction Neural Network
A data-driven state PRedictor-based Interacting Multiple Model tracking method (PR-IMM) that improves nonlinear object-motion representation while preserving the stability and interpretability of physics-based motion models.
Chan-Bin Lim, Dong-Hee Paek, Seung-Hyun Kong
· 0 citations
Open access
Sep 2026
Motion-Guided Multi-Offset Detector-Native ReID Readout for Efficient UAV Multi-Object Tracking
Joint detection-and-embedding (JDE) trackers avoid per-detection crop inference by reading identity features for re-identification (ReID) from the detector. The detection-center readout, however, does not use a track prediction when forming the appearance descriptor. This is restrictive in unmanned aerial vehicle (UAV)...
De-Feng Sun, Shao-Wu Dai, Zhi-Cai Xiao et al.
· Remote Sensing · 0 citations