論文閱讀筆記《Revisiting Local Descriptor based Image-to-Class Measure for Few-shot Learning》
核心思想 本文采用基於度量學習的方式實現小樣本學習任務，但與其他基於度量學習的方式不同，本文通過比較圖像與類別之間的局部描述子（Local Descriptor），來尋找與輸入圖像最接近的類別。本文的靈感來自於樸素貝葉斯最近鄰算法（Naive-Bayes Nearest-Neighbor，NBNN），根據這一算法作者有兩點發現：一、如果將一幅圖像的特徵信息壓縮到一個緊湊的圖像級別的表徵（換言之
相關文章
- 1. 論文閱讀筆記《SimpleShot: Revisiting Nearest-Neighbor Classification for Few-Shot Learning》
- 2. GLAD: Global-Local-Alignment Descriptor for Pedestrian Retrieval 論文閱讀筆記
- 3. 論文閱讀筆記《Distribution Consistency Based Covariance Metric Networks for Few-Shot Learning》
- 4. 論文閱讀筆記《Segmentation-based deep-learning approach for surface-defect detection》
- 5. Machine Learning & Deep Learning 論文閱讀筆記
- 6. 論文閱讀——FPGA based Accelerators ofDeep Learning Networks for Learning andClassification:A Review
- 7. 論文閱讀筆記《Learning to Compare: Relation Network for Few-Shot Learning》
- 8. Local-DPP論文閱讀筆記
- 9. GAN 論文閱讀筆記
- 10. 【論文閱讀筆記】Deep Learning based Recommender System: A Survey and New Perspectives
- 更多相關文章...
- • RSS 閱讀器 - RSS 教程
- • PHP 實例 - AJAX RSS 閱讀器 - PHP教程
- • Tomcat學習筆記（史上最全tomcat學習筆記）
- • JDK13 GA發佈：5大特性解讀
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。
歡迎關注本站公眾號,獲取更多信息
相關文章
- 1. 論文閱讀筆記《SimpleShot: Revisiting Nearest-Neighbor Classification for Few-Shot Learning》
- 2. GLAD: Global-Local-Alignment Descriptor for Pedestrian Retrieval 論文閱讀筆記
- 3. 論文閱讀筆記《Distribution Consistency Based Covariance Metric Networks for Few-Shot Learning》
- 4. 論文閱讀筆記《Segmentation-based deep-learning approach for surface-defect detection》
- 5. Machine Learning & Deep Learning 論文閱讀筆記
- 6. 論文閱讀——FPGA based Accelerators ofDeep Learning Networks for Learning andClassification:A Review
- 7. 論文閱讀筆記《Learning to Compare: Relation Network for Few-Shot Learning》
- 8. Local-DPP論文閱讀筆記
- 9. GAN 論文閱讀筆記
- 10. 【論文閱讀筆記】Deep Learning based Recommender System: A Survey and New Perspectives