參考代碼 https://github.com/Yao-DD/S3N Selective Sparse Sampling for Fine-grained Image Recognition ...
Interpretable and Accurate Fine grained Recognition via Region Grouping Abstract 我們提出了一種用於細粒度視覺識別的可解釋深度模型。我們的方法的核心是在深度神經網絡中整合基於區域的part發現和歸因。我們的模型使用圖像級對象標簽進行訓練,並通過對象parts的分割和識別它們對分類的貢獻,提供對其結果的解釋。為了便於在 ...
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參考代碼 https://github.com/Yao-DD/S3N Selective Sparse Sampling for Fine-grained Image Recognition ...
Fine-Grained Visual Classification via Progressive Multi-Granularity Training of Jigsaw Patches abstract 細粒度可視分類 ...
相關attention - 5 - GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond - 1 - 論文學習 Attention Convolutional Binary ...
代碼 https://github.com/yangze0930/NTS-Net Learning to Navigate for Fine-grained Classification Abstract細粒度分類由於難以找到有區分度的特征而具有很大的挑戰性 ...
在讀的一篇文獻中關於RDF的描述: As we know, RDF data is a set of triples with the form (subject, property, object). This fine-grainedmodel leads to SPARQL ...
Table of contents Introduction Survey papers Benchmark datasets Fine-grained image recognition Fine-grained recognition ...
Learning to Zoom: a Saliency-Based Sampling Layer for Neural Networks ...
Bilinear CNN Models for Fine-grained Visual Recognition CVPR 2015 本文提出了一種雙線性模型( bilinear models),一種識別結構,該結構由兩個特征提取器產生,兩個輸出是圖像每一個位置的外積 ...