代碼https: github.com yangze 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。要找到這些微妙的特征來完全描述物體並不是一件簡單的事。針對這種情況，我們提出了一種新的自我監督機制，在不需要限定bounding box part標注 ...
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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 ...
Interpretable and Accurate Fine-grained Recognition via Region Grouping Abstract ...
參考代碼 https://github.com/Yao-DD/S3N Selective Sparse Sampling for Fine-grained Image Recognition ...
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 Abstract ...
Destruction and Construction Learning for Fine-grained Image Recognition Intro 本文提出一種細粒度圖像分類的方法，即將原圖像拼圖一樣shuffle成不同的block，丟進一個分類器，當然，直接這樣訓練會引入 ...
