RDF annotation of Second Life objects: Knowledge Representation meets Social Virtual reality

2015-04-09 · Carlo Bernava, Giacomo Fiumara, Dario Maggiorini, Alessandro Provetti, Laura Ripamonti

We have designed and implemented an application running inside Second Life that supports user annotation of graphical objects and graphical visualization of concept ontologies, thus providing a formal, machine-accessible description of objects. As a result, we offer a platform that combines the graphical knowledge representation that is expected from a MUVE artifact with the semantic structure given by the Resource Framework Description (RDF) representation of information.

📄 PDF Abstract BibTeX arXiv:1504.02358

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Embodied Learning for Lifelong Visual Perception

2021-12-28 · David Nilsson, Aleksis Pirinen, Erik Gärtner, Cristian Sminchisescu

We study lifelong visual perception in an embodied setup, where we develop new models and compare various agents that navigate in buildings and occasionally request annotations which, in turn, are used to refine their vi…

Active Learning Deep Reinforcement Learning Lifelong learning Navigate+2

Grasping the Inconspicuous

2022-11-15 · Hrishikesh Gupta, Stefan Thalhammer, Markus Leitner, Markus Vincze

Transparent objects are common in day-to-day life and hence find many applications that require robot grasping. Many solutions toward object grasping exist for non-transparent objects. However, due to the unique visual p…

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Open World DETR: Transformer based Open World Object Detection

2022-12-06 · Na Dong, Yongqiang Zhang, Mingli Ding, Gim Hee Lee

Open world object detection aims at detecting objects that are absent in the object classes of the training data as unknown objects without explicit supervision. Furthermore, the exact classes of the unknown objects must…

Knowledge Distillation Object object-detection Object Detection+1

From Visual Attributes to Adjectives through Decompositional Distributional Semantics

2015-01-12 · TACL 2015 1 · Angeliki Lazaridou, Georgiana Dinu, Adam Liska, Marco Baroni

As automated image analysis progresses, there is increasing interest in richer linguistic annotation of pictures, with attributes of objects (e.g., furry, brown...) attracting most attention. By building on the recent "z…

Attribute Object Object Recognition Retrieval+2

Zero-Annotation Object Detection with Web Knowledge Transfer

2017-11-16 · ECCV 2018 9 · Qingyi Tao, Hao Yang, Jianfei Cai

Object detection is one of the major problems in computer vision, and has been extensively studied. Most of the existing detection works rely on labor-intensive supervision, such as ground truth bounding boxes of objects…

Domain Adaptation Object object-detection Object Detection+1