JavaShuo
欄目
標籤
Localization and Object Detection
時間 2020-12-24
標籤
物體識別
CNN
物體定位
欄目
系統網絡
简体版
原文
原文鏈接
Localization 思路1:看作迴歸問題 首先考慮單個物體的檢測,對單個物體的分類來說,已經很清楚了,在網絡的最後一層加上softmax層或者multi-svm即可。對於檢測問題,我們需要獲得矩形邊框的位置,一個簡單的思路是將這個問題看作迴歸問題(x, y, w, h),所以很簡單將分類問題的最終一層換爲regression即可。 其基本思路是: (1)訓練一個分類網絡(Alex net,
>>阅读原文<<
相關文章
1.
Online Object Detection and Localization on Stereo Visual SLAM System
2.
(Review cs231n) Spatial Localization and Detection(classification and localization)
3.
目標檢測分類和定位:Rethinking Classification and Localization for Object Detection
4.
《Double-Head RCNN: Rethinking Classification and Localization for Object Detection》論文詳解
5.
【OverFeat】《OverFeat:Integrated Recognition, Localization and Detection using Convolutional Networks》
6.
Acquisition of Localization Confidence for Accurate Object Detection
7.
DenseBox: Unifying Landmark Localization with End to End Object Detection
8.
DL-semantic segmentation/Classification+Localization/Object Detection/Instance Segmentation
9.
【CS231n筆記】08 Spatial Localization and Detection
10.
OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks
更多相關文章...
•
XSL-FO instream-foreign-object 對象
-
XSL-FO 教程
•
W3C RDF and OWL 活動
-
W3C 教程
•
RxJava操作符(七)Conditional and Boolean
•
爲了進字節跳動,我精選了29道Java經典算法題,帶詳細講解
相關標籤/搜索
localization
detection
object...object
object
track+detection
action.....and
between...and
react+and
object%20object
4.object
系統網絡
MyBatis教程
Hibernate教程
0
分享到微博
分享到微信
分享到QQ
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.
Android Studio3.4中出現某個項目全部亂碼的情況之解決方式
2.
Packet Capture
3.
Android 開發之 仿騰訊視頻全部頻道 RecyclerView 拖拽 + 固定首個
4.
rg.exe佔用cpu導致卡頓解決辦法
5.
X64內核之IA32e模式
6.
DIY(也即Build Your Own) vSAN時,選擇SSD需要注意的事項
7.
選擇深圳網絡推廣外包要注意哪些問題
8.
店鋪運營做好選款、測款的工作需要注意哪些東西?
9.
企業找SEO外包公司需要注意哪幾點
10.
Fluid Mask 摳圖 換背景教程
本站公眾號
歡迎關注本站公眾號,獲取更多信息
相關文章
1.
Online Object Detection and Localization on Stereo Visual SLAM System
2.
(Review cs231n) Spatial Localization and Detection(classification and localization)
3.
目標檢測分類和定位:Rethinking Classification and Localization for Object Detection
4.
《Double-Head RCNN: Rethinking Classification and Localization for Object Detection》論文詳解
5.
【OverFeat】《OverFeat:Integrated Recognition, Localization and Detection using Convolutional Networks》
6.
Acquisition of Localization Confidence for Accurate Object Detection
7.
DenseBox: Unifying Landmark Localization with End to End Object Detection
8.
DL-semantic segmentation/Classification+Localization/Object Detection/Instance Segmentation
9.
【CS231n筆記】08 Spatial Localization and Detection
10.
OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks
>>更多相關文章<<