Survey on improving efficiency of computer vision recogntion using deep learning
Survey on improving efficiency of computer vision recogntion using deep learning
Efficient Visual Recognition with Deep Neural Networks: A Survey on Recent Advances and New Directions
arXiv paper abstract https://arxiv.org/abs/2108.13055v1
arXiv PDF paper https://arxiv.org/pdf/2108.13055v1.pdf
Visual recognition is currently one of the most important and active research areas in computer vision, pattern recognition, and even the general field of artificial intelligence.
… Deep neural networks (DNNs) have largely boosted their performances on many concrete tasks
… Though recognition accuracy is usually the first concern for new progresses, efficiency is actually rather important and sometimes critical
… present the review of the recent advances with our suggestions on the new possible directions towards improving the efficiency of DNN-related visual recognition approaches.
We investigate not only from the model but also the data point of view (which is not the case in existing surveys), and focus on three most studied data types (images, videos and points).
… paper attempts to provide a systematic summary via a comprehensive survey which can serve as a valuable reference …
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