Summary - CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly
[paper] [code] 背景 文中提出了一種用於識別高密度場景的網絡模型 CSRNet，用於精確完成場景計數並生成高質量密度圖像。CSRNet 由兩部分構成：前半部分爲卷積神經網絡CNN，作爲2D特徵提取器，後半部分使用空洞卷積（Dilated Convolution）來增大感受野，並代替池化層。由於全卷積的結構，CSRNet很容易訓練。文章在4個數據集上對CSRNet進行了測試，並取得了當
相關文章
- 1. CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes2018—論文筆記
- 2. CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes
- 3. 人羣密度估計--CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes
- 4. Understanding Convolutional Neural Networks for NLP
- 5. [轉] Understanding Convolutional Neural Networks for NLP
- 6. （翻譯）Understanding Convolutional Neural Networks for NLP
- 7. Understanding the Effective Receptive Field in Deep Convolutional Neural Networks
- 8. Understanding and Visualizing Convolutional Neural Networks
- 9. 有效感受野--Understanding the Effective Receptive Field in Deep Convolutional Neural Networks
- 10. 有效感覺野--Understanding the Effective Receptive Field in Deep Convolutional Neural Networks
- 更多相關文章...
- • Swift for 循環 - Swift 教程
- • Scala for循環 - Scala教程
- • 爲了進字節跳動，我精選了29道Java經典算法題，帶詳細講解
- • Kotlin學習（一）基本語法
相關標籤/搜索
每日一句
-
每一个你不满意的现在，都有一个你没有努力的曾经。
最新文章
- 1. vs2019運行opencv圖片顯示代碼時，窗口亂碼
- 2. app自動化 - 元素定位不到？別慌，看完你就能解決
- 3. 在Win8下用cisco ××× Client連接時報Reason 422錯誤的解決方法
- 4. eclipse快速補全代碼
- 5. Eclipse中Java/Html/Css/Jsp/JavaScript等代碼的格式化
- 6. idea+spring boot +mabitys(wanglezapin)+mysql (1)
- 7. 勒索病毒發生變種 新文件名將帶有「.UIWIX」後綴
- 8. 【原創】Python 源文件編碼解讀
- 9. iOS9企業部署分發問題深入瞭解與解決
- 10. 安裝pytorch報錯CondaHTTPError：******
歡迎關注本站公眾號,獲取更多信息
相關文章
- 1. CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes2018—論文筆記
- 2. CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes
- 3. 人羣密度估計--CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes
- 4. Understanding Convolutional Neural Networks for NLP
- 5. [轉] Understanding Convolutional Neural Networks for NLP
- 6. （翻譯）Understanding Convolutional Neural Networks for NLP
- 7. Understanding the Effective Receptive Field in Deep Convolutional Neural Networks
- 8. Understanding and Visualizing Convolutional Neural Networks
- 9. 有效感受野--Understanding the Effective Receptive Field in Deep Convolutional Neural Networks
- 10. 有效感覺野--Understanding the Effective Receptive Field in Deep Convolutional Neural Networks