IEEE

Block Convolution: Toward Memory-Efficient Inference of Large-Scale CNNs on FPGA

Abstract: Deep convolutional neural networks have achieved remarkable progress in recent years. However, the large volume of intermediate results generated during inference poses a significant ...
IEEE

DBCTNet: Double Branch Convolution-Transformer Network for Hyperspectral Image Classification

Abstract: Currently, deep learning (DL) methods represented by convolutional neural networks (CNNs) or Transformers are of great interest in hyperspectral image (HSI) classification. And recent works ...
GitHub

CNN Filter DB: An Empirical Investigation of Trained Convolutional Filters (CVPR2022 Oral)

Abstract: Currently, many theoretical as well as practically relevant questions towards the transferability and robustness of Convolutional Neural Networks (CNNs) remain unsolved. While ongoing ...
GitHub

IceGod-bingshen/CNN-Convolutional-Neural-Network-Handwritten-and-Random-Recognition

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