论文笔记（3）：Blessing of Dimensionality: High-dimensionality Feature and Its Efficient Compression

时间 2020-07-23

标签论文笔记 blessing dimensionality high feature efficient compression 繁體版

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论文：Blessing of Dimensionality: High-dimensionality Feature and Its Efficient Compression for Face Verification 本文提出了高维度的特征有利于性能提高的观点。利用增长人脸特征点提取的数量，和采样多尺度图像金字塔，来对传统人脸特征（LBP, Gabor, HOG, SIFT）实现高维度版本。实

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1. 论文笔记（3）：Blessing of Dimensionality: High-dimensionality Feature and Its Efficient Compression
2. 【论文笔记】SafeHidden: An Efficient and Secure Information
3. 论文笔记 [3] CNN去compression artifacts
4. 《EfficientDet：Scalable and Efficient Object Detection》论文笔记
5. 论文笔记《Deep Compression》
6. 【Learning both Weights and Connections for Efficient Neural Networks】论文笔记
7. Robust and Communication-Efficient Federated Learning From Non-i.i.d. Data 论文阅读笔记
8. 论文笔记：Efficient Graph-Based Image Segmentation
9. 【Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huff】论文笔记
10. 阅读笔记：《Computationally Efficient Neural Image Compression》

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