کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
4970193 | 1450033 | 2017 | 6 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Discovering overlooked objects: Context-based boosting of object detection in indoor scenes
ترجمه فارسی عنوان
کشف اشیای نادیده گرفته شده: تقویت زمینه تشخیص شی در صحنه های داخلی
دانلود مقاله + سفارش ترجمه
دانلود مقاله ISI انگلیسی
رایگان برای ایرانیان
کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
چشم انداز کامپیوتر و تشخیص الگو
چکیده انگلیسی
Contextual detection not only uses visual features, but also leverages contextual information from the scene in the image. Most conventional context based methods have heavy training cost or large dependence on the original baseline detector. To overcome such shortcomings, we propose a new method based on co-occurrence context. It is built upon recent off-the-shelf baseline detector and achieves higher accuracy than existing works while detecting additional true positives which the baseline detector could not find. Furthermore we construct an indoor specific NYUv2-context dataset to investigate context-based detection of indoor objects. It is a subset of original NYU-depth-v2 dataset and to be published online to encourage context researches. In the experiment, the proposed method obtained 21.22% mAP which outperforms the baseline and compared context-based work by 0.91 and 0.36 percentage point mAP respectively.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Pattern Recognition Letters - Volume 86, 15 January 2017, Pages 56-61
Journal: Pattern Recognition Letters - Volume 86, 15 January 2017, Pages 56-61
نویسندگان
Jongkwang Hong, Yongwon Hong, Youngjung Uh, Hyeran Byun,