論文筆記：Zero-Annotation Object Detection with Web Knowledge Transfer
論文：Zero-Annotation Object Detection with Web Knowledge Transfer 地址：https://arxiv.org/abs/1711.05954 一、簡介 這是ECCV2018上面的一篇論文。通過 web 知識遷移實現零標註的對象檢測問題，作者提出一種對象檢測方法，通過獲取web圖片，在目標任務上不需要任何的人爲標註。爲了進行有效的從web圖片
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相關文章
- 1. Learning efficient object detection models with knowledge distillation論文筆記
- 2. Knowledge Distillation論文閱讀（2）：Learning Efficient Object Detection Models with Knowledge Distillation
- 3. 論文筆記——Camouflaged Object Detection
- 4. 論文閱讀筆記《LSTD: A Low-Shot Transfer Detector for Object Detection》
- 5. 論文閱讀筆記《Few-Shot Image Recognition with Knowledge Transfer》
- 6. 論文閱讀筆記《Large-Scale Few-Shot Learning: Knowledge Transfer With Class Hierarchy》
- 7. 【論文精讀】Knowledge Transfer with Jacobian Matching
- 8. 論文筆記：Integrated Object Detection and Tracking with Tracklet-Conditioned Detection
- 9. 【論文筆記 detection】soft-nms: Improving Object Detection With One Line of Code
- 10. Learning Efficient Object Detection Models with Knowledge Distillation論文精度