To address this issue, we focus on the channel relationship from different level of feature maps and propose a novel network, named Channel Relation Feature Pyramid Network (CR-FPN), that captures long-range relation of channel from different level of feature maps by similarity measure function and further to magnify ...
Jun 22, 2020
Jun 22, 2020 · Extensive experiments conducted on MS COCO and Pascal VOC datasets demonstrate the effectiveness of our CR-FPN also with competitive performance ...
It has an inherent process of information decomposition and reconstruction. Inspired by this theory, a new feature pyramid network model denoted as SuFPN based ...
CR-FPN: channel relation feature pyramid network for object detection. ... feature maps is proven to be essential for multi-scale object detection. Recent ...
Extensive experiments conducted on MS COCO and Pascal VOC datasets demonstrate the effectiveness of our CR-FPN also with competitive performance. Noting that ...
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Mar 26, 2018 · It is a feature extractor that works with object detectors. FPN extracts feature maps and later feeds into a detector, says RPN, for object ...
Missing: CR- relation
This paper presents an enhancement-fusion feature pyramid network (EFPN) to obtain reliable object representations for object detectors that contains a ...
Mar 19, 2021 · In this paper, we present a novel channel enhancement feature pyramid network (CE-FPN) with three simple yet effective modules to alleviate these problems.
Feature pyramid networks (FPN), as an indispensable part of generic object detectors, can significantly boost detection performance involving objects at ...
Object detection is an important process in surveillance system to locate objects and it is considered as major application in computer vision. The Convolution ...