Parts Super-Resolution Fine-Grained Image Recognition
2023 5th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N)（2023）
摘要
Intricate nuances and subtle visual signals that might not be clearly seen in low-resolution photos are frequently used in fine-grained image identification. This paper tries to approach the problem using super-resolution to recover finer details, such as textures, patterns, or minor differentiating traits. These details are essential for the categorization or localization of fine-grained categories. Usually, accurate localization of objects or particular regions of interest within an image is necessary, which is performed by specialised feature detection.
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关键词
Fine-grained Image,Fine-grained Image Recognition,Specific Regions Of Interest,Loss Function,Neural Network,Training Set,Learning Rate,Convolutional Neural Network,High-resolution Images,Deep Neural Network,Data Augmentation,Attention Mechanism,Grid Cells,Class Labels,ImageNet,Bird Species,Bounding Box,Attentional Processes,Output Image,Object Identification,Discriminator Network,High-resolution Photographs,Faster R-CNN,Fine-grained Model
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