「Computer Vision」Notes on Deep Learning for Generic Object Detection

阿新 • • 發佈：2018-11-17

[1] Deep Learning for Generic Object Detection: A Survey 2018 [paper]

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[1] Fast Neural Architecture Search of Compact Semantic Segmentation Models via Auxiliary Cells 2018

[1] UberNet: Training a Universal Convolutional Neural Network for Low-, Mid-, and High-Level Vision using Diverse Datasets and Li

Abstract 通用物件檢測，旨在從自然影象中的大量預定義類別定位物件物體，是計算機視覺中最基本和最具挑戰性的問題之一。近幾年來，深度學習技術成為了直接從資料中學習特徵表示的有力方法，並在通用物件檢測領域取得了顯著的突破。鑑於這個快速發展的時代，本文的目標是對深度學習

目錄摘要 1.介紹 2.背景 2.1問題 3.框架摘要目標監測旨在從自然影象中定位出大量預定義類別的例項物件，是機器視覺中最基本也是最具挑戰的問題。近年來，深度學習技術作為直接從資料學習特徵表示的強

最近，中國國防科技大學、芬蘭奧盧大學、澳大利亞悉尼大學、中國香港中文大學和加拿大滑鐵盧大學等人推出一篇最新目標檢測綜述，詳細闡述了當前目標檢測最新成就和關鍵技術。文章最後總結了未來8個比較有前景的方向，對學習目標檢測的人員提供了很大的幫助，在此翻譯這篇文章，方便

visual 視覺尺度 iss https 展開 http stones 使用目錄寫在前面目標檢測任務與挑戰目標檢測方法匯總基礎子問題基於DC

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