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 ...
Fine Grained Visual Classification via Progressive Multi Granularity Training of Jigsaw Patches abstract 細粒度可視分類 FGVC 比傳統分類任務更具挑戰性,因為類內對象的內在微妙變化。最近的研究主要集中在如何定位最具區別性的部分 更互補的部分以及不同粒度 granularities 的部分上 ...
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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 ...
Neural Tree for Fine-Grained Visual Categorization ...
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 ...
文章題目:多模態域自適應的細粒度動作識別 1、引言 首先明確幾個名詞含義。 Multi-Modal(多模態):每種信息來源可以稱作一個模態,多模態就是同時處理兩種或兩種以上的信息來源。例如一個視頻有視覺、聽覺、字幕等,同時考慮視覺,聽覺就是多模態方法。 Domain ...