9 citations · 11 across the 4 of their papers we have counts for
4 papers · 1 filter
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…
IoU-uniform R-CNN: Breaking Through the Limitations of RPN
Li Zhu, Zihao Xie, Liman Liu +2
Region Proposal Network (RPN) is the cornerstone of two-stage object detectors, it generates a sparse set of object proposals and alleviates the extrem foregroundbackground class i…
Localization-aware Channel Pruning for Object Detection
Zihao Xie, Wenbing Tao, Li Zhu +1
Channel pruning is one of the important methods for deep model compression. Most of existing pruning methods mainly focus on classification. Few of them conduct systematic research…