Litcius/Paper detail

Swin-JDE: Joint Detection and Embedding Multi-Object Tracking in Crowded Scenes Based on Swin-Transformer

Chi‐Yi Tsai, Guan-Yu Shen, Humaira Nisar

2023Engineering Applications of Artificial Intelligence52 citationsDOI

Topics & Concepts

Computer scienceArtificial intelligenceObject detectionEmbeddingComputer visionRobustness (evolution)Video trackingTransformerPattern recognition (psychology)Convolutional neural networkObject (grammar)ChemistryVoltageGeneQuantum mechanicsBiochemistryPhysicsVideo Surveillance and Tracking MethodsFire Detection and Safety SystemsAdvanced Neural Network Applications
Swin-JDE: Joint Detection and Embedding Multi-Object Tracking in Crowded Scenes Based on Swin-Transformer | Litcius