DOTA: A Lareg-scale dataset for object detection in aerial images
DOTA: A Lareg-scale dataset for object detection in aerial images Abstract: Earth vision 圖像規模龐大，多樣性，物體定位和地球表面物體實例的形狀檢測，良好註釋的數據集過於匱乏 從不同的傳感器和平臺衆包2806個航拍圖像，每一個圖像是大約4000*4000，目標涵蓋了各種各樣的規模，位置，形狀。這些圖像被遙感領域
相關文章
- 1. DOTA: A Large-scale Dataset for Object Detection in Aerial Images 翻譯
- 2. ICCV2019 | 目標檢測論文閱讀 Clustered Object Detection in Aerial Images
- 3. ICCV2019 ——Clustered Object Detection in Aerial Images(目標檢測)
- 4. Sliding Shapes for 3D Object Detection in Depth Images
- 5. KITTI 3D Object Detection Dataset
- 6. Dynamic Zoom-in Network for Fast Object Detection in Large Images
- 7. Change Detection Based on Deep Siamese Convolutional Network for Optical Aerial Images
- 8. 論文閱讀筆記（三十八）：Dynamic Zoom-in Network for Fast Object Detection in Large Images
- 9. Metrics for object detection
- 10. Object Detection in 20 Years: A Survey
- 更多相關文章...
- • Swift for-in 循環 - Swift 教程
- • Docker images 命令 - Docker命令大全
- • Docker 清理命令
- • 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
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. CVPR 2020 論文大盤點-光流篇
- 2. Photoshop教程_ps中怎麼載入圖案？PS圖案如何導入？
- 3. org.pentaho.di.core.exception.KettleDatabaseException:Error occurred while trying to connect to the
- 4. SonarQube Scanner execution execution Error --- Failed to upload report - 500: An error has occurred
- 5. idea 導入源碼包
- 6. python學習 day2——基礎學習
- 7. 3D將是頁遊市場新賽道？
- 8. osg--交互
- 9. OSG-交互
- 10. Idea、spring boot 圖片(pgn顯示、jpg不顯示)解決方案
歡迎關注本站公眾號,獲取更多信息
相關文章
- 1. DOTA: A Large-scale Dataset for Object Detection in Aerial Images 翻譯
- 2. ICCV2019 | 目標檢測論文閱讀 Clustered Object Detection in Aerial Images
- 3. ICCV2019 ——Clustered Object Detection in Aerial Images(目標檢測)
- 4. Sliding Shapes for 3D Object Detection in Depth Images
- 5. KITTI 3D Object Detection Dataset
- 6. Dynamic Zoom-in Network for Fast Object Detection in Large Images
- 7. Change Detection Based on Deep Siamese Convolutional Network for Optical Aerial Images
- 8. 論文閱讀筆記（三十八）：Dynamic Zoom-in Network for Fast Object Detection in Large Images
- 9. Metrics for object detection
- 10. Object Detection in 20 Years: A Survey