6 papers · 1 filter
Cross-view Self-localization from Synthesized Scene-graphs
Ryogo Yamamoto, Kanji Tanaka
Cross-view self-localization is a challenging scenario of visual place recognition in which database images are provided from sparse viewpoints. Recently, an approach for synthesiz…
Active Semantic Localization with Graph Neural Embedding
Mitsuki Yoshida, Kanji Tanaka, Ryogo Yamamoto +1
Semantic localization, i.e., robot self-localization with semantic image modality, is critical in recently emerging embodied AI applications (e.g., point-goal navigation, object-go…
Compressive Self-localization Using Relative Attribute Embedding
Ryogo Yamamoto, Kanji Tanaka
The use of relative attribute (e.g., beautiful, safe, convenient) -based image embeddings in visual place recognition, as a domain-adaptive compact image descriptor that is orthogo…
Open-World Distributed Robot Self-Localization with Transferable Visual Vocabulary and Both Absolute and Relative Features
Mitsuki Yoshida, Ryogo Yamamoto, Daiki Iwata +1
Visual robot self-localization is a fundamental problem in visual robot navigation and has been studied across various problem settings, including monocular and sequential localiza…
Detector Algorithms of Bounding Box and Segmentation Mask of a Mask R-CNN Model
Haruhiro Fujita, Masatoshi Itagaki, Yew Kwang Hooi +3
Detection performances on bounding box and segmentation mask outputs of Mask R-CNN models are evaluated. There are significant differences in detection performances of bounding box…
Fine-tuned Pre-trained Mask R-CNN Models for Surface Object Detection
Haruhiro Fujita, Masatoshi Itagaki, Kenta Ichikawa +3
This study evaluates road surface object detection tasks using four Mask R-CNN models as a pre-study of surface deterioration detection of stone-made archaeological objects. The mo…