Interpretable and Accurate Fine-grained Recognition via Region Grouping Abstract ...
參考代碼https: github.com Yao DD S N Selective Sparse Sampling for Fine grained Image Recognition Abstract 細粒度識別提出了一個獨特的挑戰,即在相當大的類間差異下捕捉細微的類內差異 如鳥類的喙 。傳統的方法是crop局部區域並從這些區域中獲取詳細的表征,但存在parts數量固定和缺少周邊上下文信息的問 ...
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Interpretable and Accurate Fine-grained Recognition via Region Grouping Abstract ...
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 ...
Fine-Grained Visual Classification via Progressive Multi-Granularity Training of Jigsaw Patches abstract 細粒度可視分類 ...
Table of contents Introduction Survey papers Benchmark datasets Fine-grained image recognition Fine-grained 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 ...
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 ...