Improved Edge Boxes with Object Saliency and Location Awards
نویسندگان
چکیده
منابع مشابه
Edge Boxes: Locating Object Proposals from Edges
The use of object proposals is an effective recent approach for increasing the computational efficiency of object detection. We propose a novel method for generating object bounding box proposals using edges. Edges provide a sparse yet informative representation of an image. Our main observation is that the number of contours that are wholly contained in a bounding box is indicative of the like...
متن کاملObject proposal on RGB-D images via elastic edge boxes
As a fundamental preprocessing of various multimedia applications, object proposal aims to detect the candidate windows possibly containing arbitrary objects in images with two typical strategies, window scoring and grouping. In this paper, we first analyze the feasibility of improving object proposal performance by integrating window scoring and grouping strategies. Then, we propose a novel ob...
متن کاملElastic Edge Boxes for Object Proposal on RGB-D Images
Object proposal is utilized as a fundamental preprocessing of various multimedia applications by detecting the candidate regions of objects in images. In this paper, we propose a novel object proposal method, named elastic edge boxes, integrating window scoring and grouping strategies and utilizing both color and depth cues in RGBD images. We first efficiently generate the initial bounding boxe...
متن کاملDeep Edge-Aware Saliency Detection
There has been profound progress in visual saliency thanks to the deep learning architectures, however, there still exist three major challenges that hinder the detection performance for scenes with complex compositions, multiple salient objects, and salient objects of diverse scales. In particular, output maps of the existing methods remain low in spatial resolution causing blurred edges due t...
متن کاملObject recognition with hierarchical discriminant saliency networks
The benefits of integrating attention and object recognition are investigated. While attention is frequently modeled as a pre-processor for recognition, we investigate the hypothesis that attention is an intrinsic component of recognition and vice-versa. This hypothesis is tested with a recognition model, the hierarchical discriminant saliency network (HDSN), whose layers are top-down saliency ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEICE Transactions on Information and Systems
سال: 2016
ISSN: 0916-8532,1745-1361
DOI: 10.1587/transinf.2015edp7222