Domain adaptive faster-rcnn for object detection in the wild 論文筆記
2018年CVPR文章，基於Faster-RCNN，進行領域自適應改進（似遷移學習），用在進行霧氣，光線不良情況下的野外遷移探測活動（複雜多變的場景） 解決domain shift 1.image level :scale,style,illumination 2.instance level:obj appearance ,size and orientation 主要貢獻 1.概率統計論的角度
相關文章
- 1. Domain adaptive faster-rcnn for object detection in the wild 論文筆記
- 2. 論文筆記：Domain Adaptive Faster R-CNN for Object Detection in the Wild
- 3. 論文筆記：Large-Scale Object Detection in the Wild from Imbalanced Multi-Labels
- 4. Exploring Categorical Regularization for Domain Adaptive Object Detection
- 5. 論文筆記：Strong-Weak Distribution Alignment for Adaptive Object Detection
- 6. Traffic-Sign Detection and Classification in the Wild 論文筆記
- 7. 【論文筆記】Learning from Synthetic Data for Crowd Counting in the Wild
- 8. Material Recognition in the Wild with the Materials in Context Database論文筆記
- 9. Choosing Smartly: Adaptive Multimodal Fusion for Object Detection in Changing Environments論文閱讀筆記
- 10. 論文見解之SRN: Side-output Residual Network for Object Symmetry Detection in the Wild
- 更多相關文章...
- • Swift for-in 循環 - Swift 教程
- • Scala for循環 - Scala教程
- • Tomcat學習筆記（史上最全tomcat學習筆記）
- • Scala 中文亂碼解決
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. 安裝cuda+cuDNN
- 2. GitHub的使用說明
- 3. phpDocumentor使用教程【安裝PHPDocumentor】
- 4. yarn run build報錯Component is not found in path 「npm/taro-ui/dist/weapp/components/rate/index「
- 5. 精講Haproxy搭建Web集羣
- 6. 安全測試基礎之MySQL
- 7. C/C++編程筆記：C語言中的複雜聲明分析，用實例帶你完全讀懂
- 8. Python3教程(1)----搭建Python環境
- 9. 李宏毅機器學習課程筆記2：Classification、Logistic Regression、Brief Introduction of Deep Learning
- 10. 阿里雲ECS配置速記
歡迎關注本站公眾號,獲取更多信息
相關文章
- 1. Domain adaptive faster-rcnn for object detection in the wild 論文筆記
- 2. 論文筆記：Domain Adaptive Faster R-CNN for Object Detection in the Wild
- 3. 論文筆記：Large-Scale Object Detection in the Wild from Imbalanced Multi-Labels
- 4. Exploring Categorical Regularization for Domain Adaptive Object Detection
- 5. 論文筆記：Strong-Weak Distribution Alignment for Adaptive Object Detection
- 6. Traffic-Sign Detection and Classification in the Wild 論文筆記
- 7. 【論文筆記】Learning from Synthetic Data for Crowd Counting in the Wild
- 8. Material Recognition in the Wild with the Materials in Context Database論文筆記
- 9. Choosing Smartly: Adaptive Multimodal Fusion for Object Detection in Changing Environments論文閱讀筆記
- 10. 論文見解之SRN: Side-output Residual Network for Object Symmetry Detection in the Wild