論文閱讀：Reasoning about Object Affordances in a Knowledge Base Representation
Reasoning about Object Affordances in a Knowledge Base Representation（ECCV2014） 文章 本論文使用了知識庫表示來對物體的affordance進行推理。首先從圖片或者其餘meta-data的數據中得到大量的關於物體的信息，而後使用Markov Logic Network（MLN）學習一個知識庫（Knowledge Ba
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相關文章
- 1. 【論文閱讀】Deep Reasoning with Knowledge Graph for Social Relationship Understanding
- 2. 【閱讀筆記】Reasoning With Neural Tensor Networks for Knowledge Base Completion
- 3. Distilling the Knowledge in a Neural Network[論文閱讀筆記]
- 4. 【論文閱讀】Distilling the Knowledge in a Neural Network
- 5. Knowledge Distillation論文閱讀（2）：Learning Efficient Object Detection Models with Knowledge Distillation
- 6. 《Reasoning about Entailment with Neural Attention》閱讀筆記
- 7. SentiLR:Linguistic Knowledge Enhanced Language Representation for Sentiment Analysis 論文閱讀筆記
- 8. knowledge distillation論文閱讀之：Learning from a Lightweight Teacher for Efficient Knowledge Distillation
- 9. 論文閱讀筆記之How to Keep a Knowledge Base Synchronized with Its Encyclopedia Source
- 10. 《Knowledge Base Completion By Learning...》閱讀筆記