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04/05/2023
Gradient Attention Balance Network: Mitigating Face Recognition Racial Bias via Gradient Attention
Although face recognition has made impressive progress in recent years, ...
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02/11/2023
Dive into the Resolution Augmentations and Metrics in Low Resolution Face Recognition: A Plain yet Effective New Baseline
Although deep learning has significantly improved Face Recognition (FR),...
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12/02/2022
Model and Data Agreement for Learning with Noisy Labels
Learning with noisy labels is a vital topic for practical deep learning ...
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05/24/2022
SFace: Sigmoid-Constrained Hypersphere Loss for Robust Face Recognition
Deep face recognition has achieved great success due to large-scale trai...
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04/29/2021
CASSOD-Net: Cascaded and Separable Structures of Dilated Convolution for Embedded Vision Systems and Applications
The field of view (FOV) of convolutional neural networks is highly relat...
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04/29/2021
Hardware Architecture of Embedded Inference Accelerator and Analysis of Algorithms for Depthwise and Large-Kernel Convolutions
In order to handle modern convolutional neural networks (CNNs) efficient...
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04/29/2021
Condensation-Net: Memory-Efficient Network Architecture with Cross-Channel Pooling Layers and Virtual Feature Maps
"Lightweight convolutional neural networks" is an important research top...
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09/29/2020
BAMSProd: A Step towards Generalizing the Adaptive Optimization Methods to Deep Binary Model
Recent methods have significantly reduced the performance degradation of...
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09/10/2020
QuantNet: Learning to Quantize by Learning within Fully Differentiable Framework
Despite the achievements of recent binarization methods on reducing the ...
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11/19/2019
IFQ-Net: Integrated Fixed-point Quantization Networks for Embedded Vision
Deploying deep models on embedded devices has been a challenging problem...
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11/13/2019
DupNet: Towards Very Tiny Quantized CNN with Improved Accuracy for Face Detection
Deploying deep learning based face detectors on edge devices is a challe...
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11/13/2019