論文閱讀：Shuffle-Then-Assemble: Learning Object-Agnostic Visual Relationship Features
Shuffle-Then-Assemble 文章 Paper認爲標記triplet的cost是很大的，而且人標記的relation有很強的的object的依賴性，就是某些relation對某些object-object會有bias。 shuffle-then-assemble的目的是希望訓練出一個比較object agnostic的CNN，這樣就能緩解relation對object的bia
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相關文章
- 1. 論文閱讀：Large-Scale Visual Relationship Understanding
- 2. 論文閱讀：Visual Relationship Detection with Language Priors
- 3. 論文閱讀-《Learning Deep Features for Discriminative Localization》
- 4. 論文閱讀筆記《Low-shot Visual Recognition by Shrinking and Hallucinating Features》
- 5. 論文閱讀：Zoom-Net: Mining Deep Feature Interactions for Visual Relationship Recognition
- 6. Machine Learning & Deep Learning 論文閱讀筆記
- 7. 【論文閱讀筆記】Learning Spatiotemporal Features with 3D Convolutional Networks
- 8. [論文閱讀]Learning Discriminative Features with Multiple Granularityfor Person Re-Identification
- 9. 《Learning Features and Parts for Fine-Grained Recognition》論文閱讀筆記
- 10. 論文閱讀筆記（四十）：Learning Spatiotemporal Features with 3D Convolutional Networks（C3D）