Deep Feature Interpolation for Image Content Changes

时间 2021-01-12

标签深度学习繁體版

原文原文链接

这篇博客是对《Deep Feature Interpolation for Image Content Changes》的通俗解读，这篇发表时间较早，但是文章的理念即使在今年2020年来看的话都很有借鉴意义。文章链接：https://arxiv.org/pdf/1611.05507.pdf 摘要：文章中提出了DFI（deep feature interpolation）,顾名思义就是对特征进行

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1. Research Guide for Video Frame Interpolation with Deep Learning
2. Deep Feature Pyramid Reconfiguration for Object Detection
3. Indices Matter: Learning to Index for Deep Image Matting
4. ResNet--Deep Residual Learning for Image Recognition
5. 【Feature Pyramid】《Deep Feature Pyramid Reconfiguration for Object Detection》
6. Deep Image Retrieval: Learning global representations for image search
7. Deep Residual Learning For Image Recognition
8. Seam Carving for Content-Aware Image Resizing
9. 【SegNet】 A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
10. Deep Learning and SVM Classification for Plant Recognition in Content-Based Large Scale Image Retrie

>>更多相关文章<<