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RFB Net:Receptive Field Block Net for Accurate and Fast Object Detection
時間 2021-01-02
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參考博客:https://blog.csdn.net/u014380165/article/details/81556769 1. 概述 目前表現突出的目標檢測器都依賴較深的網絡結構,因爲越深層的網絡,特徵表示能力越強,但無疑帶來了較大的計算量。反過來,出現了一些輕量級的網絡,實現了實時檢測,但檢測精度不容樂觀。 在本文中,我們探索了一種替代方案,受到人類視覺系統的RFs的構建,我們提出了一種新穎
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相關文章
1.
目標檢測 | Receptive Field Block Net for Accurate and Fast Object Detection
2.
Paper Reading:Receptive Field Block Net for Accurate and Fast Object Detection
3.
《Receptive Field Block Net for Accurate and Fast Object Detection》論文筆記
4.
Receptive Field Block Net for Accurate and Fast Object Detection論文筆記
5.
顯著性檢測之Cascaded Partial Decoder for Fast and Accurate Salient Object Detection
6.
Region-Based Convolutional Networks for Accurate Object Detection and Segmentation
7.
Rich feature hierarchies for accurate object detection and semantic segmentation
8.
RCNN:Rich feature hierarchies for accurate object detection and semantic segmentation
9.
Acquistion Location Confidence for accurate object detection
10.
TPAMI14 Fast Feature Pyramids for Object Detection
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