Knowledge Guided Disambiguation for Large-Scale Scene Classification With Multi-Resolution CNNs》閱讀筆記
《Knowledge Guided Disambiguation for Large-Scale Scene Classification With Multi-Resolution CNNs》閱讀筆記 圖像分類中遇到的困難，以及針對這些困難本文方法的優勢在哪裏？ 場景分類中遇到的困難： 1、場景的類別常常通過多個信息（局部目標，全局佈局，背景信息）綜合確定，這使得分類的類間差距很大。 2、隨着場
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相關文章
- 1. Knowledge Guided Short-Text Classification For Healthcare Applications
- 2. FUSING DEEP LOCAL AND GLOBAL FEATURES FOR REMOTE SENSING IMAGE SCENE CLASSIFICATION閱讀筆記
- 3. 閱讀分享：Enriching BERT with Knowledge Graph Embeddings for Document Classification
- 4. CNNs for Text Classification
- 5. 【閱讀筆記】Reasoning With Neural Tensor Networks for Knowledge Base Completion
- 6. 論文閱讀筆記《Diversity with Cooperation: Ensemble Methods for Few-Shot Classification》
- 7. 《Bag of Tricks for Image Classification with Convolutional Neural Networks》論文閱讀筆記
- 8. Hierarchical Attention Network for Document Classification閱讀筆記
- 9. CNN for Sentence Classification-textcnn閱讀筆記
- 10. [閱讀筆記] Occluded Pedestrian Detection Through Guided Attention in CNNs