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06/26/2023
ParameterNet: Parameters Are All You Need for Large-scale Visual Pretraining of Mobile Networks
The large-scale visual pretraining has significantly improve the perform...
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04/24/2023
Robust and Efficient Memory Network for Video Object Segmentation
This paper proposes a Robust and Efficient Memory Network, referred to a...
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03/13/2023
Bag of Tricks with Quantized Convolutional Neural Networks for image classification
Deep neural networks have been proven effective in a wide range of tasks...
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02/17/2023
3D Human Pose Lifting with Grid Convolution
Existing lifting networks for regressing 3D human poses from 2D single-v...
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12/20/2022
Redistribution of Weights and Activations for AdderNet Quantization
Adder Neural Network (AdderNet) provides a new way for developing energy...
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09/30/2022
Rethinking skip connection model as a learnable Markov chain
Over past few years afterward the birth of ResNet, skip connection has b...
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06/01/2022
Vision GNN: An Image is Worth Graph of Nodes
Network architecture plays a key role in the deep learning-based compute...
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01/10/2022
GhostNets on Heterogeneous Devices via Cheap Operations
Deploying convolutional neural networks (CNNs) on mobile devices is diff...
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12/19/2021
Elastic-Link for Binarized Neural Network
Recent work has shown that Binarized Neural Networks (BNNs) are able to ...
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09/20/2021
Learning Versatile Convolution Filters for Efficient Visual Recognition
This paper introduces versatile filters to construct efficient convoluti...
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06/05/2021
Dynamic Resolution Network
Deep convolutional neural networks (CNNs) are often of sophisticated des...
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02/27/2021
Transformer in Transformer
Transformer is a type of self-attention-based neural networks originally...
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10/10/2020
Training Binary Neural Networks through Learning with Noisy Supervision
This paper formalizes the binarization operations over neural networks f...
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01/26/2020