10 papers
CD-RMOT-Bench: Benchmarking the Cross-Domain Referring Multi-Object Tracking
Xiangqun Zhang, Likai Wang, Zekun Qian +2
The paper introduces CD-RMOT-Bench, a benchmark for evaluating how well referring multi-object tracking models trained on one visual domain perform on different, unseen domains, an…
COVTrack++: Learning Open-Vocabulary Multi-Object Tracking from Continuous Videos via a Synergistic Paradigm
Zekun Qian, Wei Feng, Ruize Han +1
Multi-Object Tracking (MOT) has traditionally focused on a few specific categories, restricting its applicability to real-world scenarios involving diverse objects. Open-Vocabulary…
RT-SDGOD: Real-Time Single-Domain Generalized Object Detection
Yupeng Zhang, Fangzhuo Gao, Ruize Han +2
In real-world deployment under strict real-time constraints, weather and imaging variations induce significant distribution shifts, severely degrading detectors. Single-Domain Gene…
ExDet: Open-Domain Open-Vocabulary Detection with Cross-modal Extrapolation and Rectification
Yupeng Zhang, Yuzhong Feng, Ruize Han +3
Open-domain open-vocabulary detection (ODOVD) requires detectors to generalize to both novel categories and unseen domains, making it more challenging than open-vocabulary detectio…
LV-OSD: Language-Vision-Complementary Open-Set Object Detection
Yupeng Zhang, Ruize Han, Wei Feng +2
Object detection is an important task in computer vision, which aims to detect the objects of interest. through the given category list or query images. In this work, we propose a…
ODOV: Benchmark the Open-Domain Open-Vocabulary Object Detection
Yupeng Zhang, Ruize Han, Fangnan Zhou +2
Existing studies typically investigate domain shift and category shift as independent problems, however, in real-world scenarios, the two types of shifts often occur simultaneously…