3 papers
cs.RO2024
OVGNet: A Unified Visual-Linguistic Framework for Open-Vocabulary Robotic Grasping
Li Meng, Zhao Qi, Lyu Shuchang +4
Recognizing and grasping novel-category objects remains a crucial yet challenging problem in real-world robotic applications. Despite its significance, limited research has been co…
cs.CV2023
OV-VG: A Benchmark for Open-Vocabulary Visual Grounding
Chunlei Wang, Wenquan Feng, Xiangtai Li +5
Open-vocabulary learning has emerged as a cutting-edge research area, particularly in light of the widespread adoption of vision-based foundational models. Its primary objective is…
cs.CV2023
Iterative Robust Visual Grounding with Masked Reference based Centerpoint Supervision
Menghao Li, Chunlei Wang, Wenquan Feng +5
Visual Grounding (VG) aims at localizing target objects from an image based on given expressions and has made significant progress with the development of detection and vision tran…