Utterance-level Aggregation For Speaker Recognition In The Wild筆記
論文鏈接：https://arxiv.org/abs/1902.10107v1 開源代碼：http://www.robots.ox.ac.uk/~vgg/research/speakerID/ 網絡結構 輸入：每幀257維向量，256維的頻率量+1維的DC量 主幹網絡：Thin-ResNet，提取frame-level特徵 NetVLAD或GhostVLAD層：將frame-level的特徵轉換成
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相關文章
- 1. Material Recognition in the Wild with the Materials in Context Database論文筆記
- 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》 筆記
- 5. 良心High-Fidelity Pose and Expression Normalization for Face Recognition in the Wild
- 6. Chinese Text in the Wild 學習筆記
- 7. Demo - Speaker Recognition
- 8. Domain adaptive faster-rcnn for object detection in the wild 論文筆記
- 9. 【論文筆記】Learning from Synthetic Data for Crowd Counting in the Wild
- 10. 論文筆記：Domain Adaptive Faster R-CNN for Object Detection in the Wild