12 citations · 19 across the 4 of their papers we have counts for
4 papers
DINO-X: A Unified Vision Model for Open-World Object Detection and Understanding
Tianhe Ren, Yihao Chen, Qing Jiang +17
In this paper, we introduce DINO-X, which is a unified object-centric vision model developed by IDEA Research with the best open-world object detection performance to date. DINO-X…
SymPoint Revolutionized: Boosting Panoptic Symbol Spotting with Layer Feature Enhancement
Wenlong Liu, Tianyu Yang, Qizhi Yu +1
SymPoint is an initial attempt that utilizes point set representation to solve the panoptic symbol spotting task on CAD drawing. Despite its considerable success, it overlooks grap…
Grounding DINO 1.5: Advance the "Edge" of Open-Set Object Detection
Tianhe Ren, Qing Jiang, Shilong Liu +13
This paper introduces Grounding DINO 1.5, a suite of advanced open-set object detection models developed by IDEA Research, which aims to advance the "Edge" of open-set object detec…
Symbol as Points: Panoptic Symbol Spotting via Point-based Representation
Wenlong Liu, Tianyu Yang, Yuhan Wang +2
This work studies the problem of panoptic symbol spotting, which is to spot and parse both countable object instances (windows, doors, tables, etc.) and uncountable stuff (wall, ra…