Utterance-level Aggregation For Speaker Recognition In The Wild笔记
论文链接：https://arxiv.org/abs/1902.10107v1 开源代码：http://www.robots.ox.ac.uk/~vgg/research/speakerID/ 网络结构 输入：每帧257维向量，256维的频率量+1维的DC量 主干网络：Thin-ResNet，提取frame-level特征 NetVLAD或GhostVLAD层：将frame-level的特征转换成
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相关文章
- 1. Material Recognition in the Wild with the Materials in Context Database论文笔记
- 2. X-VECTOR:ROBUST DNN EMBEDDING FOR SPEAKER RECOGNITION
- 3. paper6：Towards Pose Invariant Face Recognition in the Wild 2018CVPR
- 4. 《Recursive Recurrent Nets with Attention Modeling for OCR in the Wild》 笔记
- 5. 良心High-Fidelity Pose and Expression Normalization for Face Recognition in the Wild
- 6. Chinese Text in the Wild 学习笔记
- 7. Demo - Speaker Recognition
- 8. Domain adaptive faster-rcnn for object detection in the wild 论文笔记
- 9. 【论文笔记】Learning from Synthetic Data for Crowd Counting in the Wild
- 10. 论文笔记：Domain Adaptive Faster R-CNN for Object Detection in the Wild