1 citations · 1 across the 9 of their papers we have counts for
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FruitEnsemble: MLLM-Guided Arbitration for Heterogeneous ensemble in Fine-Grained Fruit Recognition
Enhui Yu, Junhui Li, Ruitong Lu +2
Fine-grained fruit classification is a critical yet challenging task in agricultural computer vision, primarily hindered by a severe shortage of high-quality datasets and the high…
ORMOT: A Dataset and Framework for Omnidirectional Referring Multi-Object Tracking
Zihan Zhou, Sijia Chen, Yanqiu Yu +2
Omnidirectional cameras provide 360° spatial coverage, making them increasingly valuable in applications such as autonomous driving and video surveillance. While Multi-Object Track…
RT-RMOT: A Dataset and Framework for RGB-Thermal Referring Multi-Object Tracking
Yanqiu Yu, Zhifan Jin, Sijia Chen +4
Referring Multi-Object Tracking has attracted increasing attention due to its human-friendly interactive characteristics, yet it exhibits limitations in low-visibility conditions,…
DRMOT: A Dataset and Framework for RGBD Referring Multi-Object Tracking
Sijia Chen, Lijuan Ma, Shaofeng Liang +9
Referring Multi-Object Tracking (RMOT) aims to track specific targets based on language descriptions, playing a vital role in interactive AI systems such as robotics and autonomous…