[업데이트 2019.08.24 14:15] 1. 논문 Geospatial Object Detection on High Resolution Remote Sensing Imagery Based on Double Multi-Scale Feature Pyramid Network Remote Sens. 2019, 11(7), 755; https://doi.org/10.3390/rs11070755 Received: 17 February 2019 / Revised: 20 March 2019 / Accepted: 23 March 2019 / Published: 28 March 2019 2. 요약 - To solve these problems, an effective region-based VHR remote sensi..
[업데이트 2019.08.24 01:29] 1. 논문 Efficient Featurized Image Pyramid Network for Single Shot Detector CVPR 2019 2. 요약 - To detect very small/large objects, classical pyramid representation can be exploited, where an image pyramid is used to build a feature pyramid (featurized image pyramid), enabling detection across a range of scales. - In this paper, we introduce a light-weight architecture to eff..
[업데이트 2019.08.24 01:16] 1. 논문 Improving Object Detection from Scratch via Gated Feature Reuse 2. 요약 - In this paper, we present a simple and parameter-efficient drop-in module for one-stage object detectors like SSD. - We call our module GFR (Gated Feature Reuse), which exhibits two main advantages. First, we introduce a novel gate-controlled prediction strategy enabled by Squeeze-and-Excitation..
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