Listwise View Ranking for Image Cropping論文理解
該論文針對圖片裁剪中的排序問題和形變問題提出瞭解決方案。 object排序方法 數據(文章或圖片)轉換爲特徵向量，作爲待排序的對象——object。 pointwise 以單個object作爲排序的對象。通過機器學習方法獲得針對每個object的分類或迴歸(排序)模型，當輸入新object時，模型的預測結果即爲排序結果； pairwise 以兩個object的組合作爲排序對象。通過網絡學習
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相關文章
- 1. Deep Semantic Ranking Based Hashing for Multi-Label Image Retrieval
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- 5. 論文理解 Deep Residual Learning for Image Recognition
- 6. 顯著性應用--論文筆記--2019--Aesthetic guided deep regression network for image cropping
- 7. 解讀 Data Augmentation using Random Image Cropping and Patching for Deep CNNs
- 8. Residual Attention Network for Image Classification論文詳解
- 9. Rethinking Atrous Convolution for Semantic Image Segmentation論文解
- 10. 1505.Deep Ranking for Person Re-identification via Joint Representation Learning論文筆記