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Inference Scene Labeling by Incorporating Object Detection with Explicit Shape Model

机译：将目标检测与显式形状模型相结合的推理场景标注

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Quan Zhou; Wenyu Liu;
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年度 2014
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1. A Comparative Study of Adaptive Neuro-Fuzzy Inference Systems in Object Detection of Complex City Scenes Using Digital Aerial Images and LiDAR Data [J] . Nahr Siamak Talebi, Pahlavani Parham, Amirkalayi Hamed Amini Journal of the Indian Society of Remote Sensing . 2015,第4期

机译：利用数字航空影像和LiDAR数据在复杂城市场景目标检测中自适应神经模糊推理系统的比较研究
2. Detection based object labeling of 3D point cloud for indoor scenes [J] . Liu Wei, Li Shaozi, Cao Donglin, Neurocomputing . 2016,第JANa22PTaB期

机译：用于室内场景的3D点云的基于检测的对象标记
3. Contour-based focus of attention mechanism to speed up object detection and labeling in 3D scenes [J] . Rafael Arnay, Leopoldo Acosta Image and Vision Computing . 2014,第5期

机译：基于轮廓的关注机制，可加快3D场景中物体的检测和标记
4. Inference Scene Labeling by Incorporating Object Detection with Explicit Shape Model [C] . Quan Zhou, Wenyu Liu ACCV 2010;Asian conference on computer vision . 2011

机译：通过将目标检测与显式形状模型相结合来进行推理场景标注
5. Statistical part-based models: Theory and applications in image similarity, object detection and region labeling. [D] . Zhang, Dongqing. 2006

机译：基于统计部分的模型：图像相似性，对象检测和区域标记的理论和应用。
6. Scene complexity modulates degree of feedback activity during object detection in natural scenes [O] . Iris I. A. Groen, Sara Jahfari, Noor Seijdel, 2018

机译：场景复杂度可调节自然场景中物体检测期间的反馈活动程度
7. Monocular {3D} Scene Modeling and Inference: Understanding Multi-Object Traffic Scenes [O] . Wojek C., Roth S., Schindler K., 2010

机译：单目{3D}场景建模和推理：了解多目标交通场景

Inference Scene Labeling by Incorporating Object Detection with Explicit Shape Model

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