NN論文を肴に酒を飲む会 #3 ②発表資料です

1. 2017/7/12
YouTube-8M:
A Large-Scale Video Classification Benchmark
[ Google Research 2016/9/27 arXiv: 1609.08675v1] TFUG NN #3
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2. ✤
✤
✤
✤
✤
✤
✤
✤ Kaggle
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3. YouTube-8M
✤
ImageNet…
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4. YouTube-8M
✤
4
2TB
1GPU 1
1) 1 1
2) Inception
3) PCA
4) TensorFlow
→ URL

5. ✤ YouTube
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6. ✤ Knowledge Graph entity
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7. ✤
✤ 3 1-2.5
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8. ✤
✤
✤ …
✤ 78.8% 14.5%
✤ → 80%
✤ →
8

9. DBoF
✤ k N
✤ ReLu
M
✤ → (MxN)
✤
✤ Max pooling
✤
✤
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10. ✤
✤
✤ φ
✤ PCA
✤ L2
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11. ✤ mAP:
✤ Hit@k: k
1
✤ PERR(Precision at equal recall rate):
✤ GAP: Kaggle
-
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12. ✤ 1
✤
✤ 2
DBoF,LSTM
12
→

13. ✤
✤ PERR
15%
✤
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14. ✤ ActivityNet
✤ Sports-1M
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15. Kaggle
✤
✤ 6
✤ Google Cloud …
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16. Kaggle 1
✤ https://github.com/antoine77340/LOUPE
✤ Learnable pooling with Context Gating for video classification
✤ [Antoine Miech arXiv:1706.06905v1 2017/6/21]
✤ 25
✤ 7 GAP 84.698%
Gated NetVLAD (256 clusters),
Gated NetFV (128 clusters),
Gated Soft-DBoW (4096 clusters),
Soft-DBoW (8000 Clusters),
Gated NetRVLAD (256 Clusters),
GRU (2 layers, hidden size: 1200)
LSTM (2 layers, hidden size: 1024)
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17. ✤ Q.p8
✤ A.
✤
…)
80% 80%
p8
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