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09/18/2023
Stealthy Physical Masked Face Recognition Attack via Adversarial Style Optimization
Deep neural networks (DNNs) have achieved state-of-the-art performance o...
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08/23/2023
A Benchmark Study on Calibration
Deep neural networks are increasingly utilized in various machine learni...
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07/16/2023
Neural Architecture Retrieval
With the increasing number of new neural architecture designs and substa...
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05/23/2023
Dual Focal Loss for Calibration
The use of deep neural networks in real-world applications require well-...
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05/16/2023
AMD: Autoregressive Motion Diffusion
Human motion generation aims to produce plausible human motion sequences...
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02/13/2023
Calibrating a Deep Neural Network with Its Predecessors
Confidence calibration - the process to calibrate the output probability...
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10/26/2022
Boosting Semi-Supervised Semantic Segmentation with Probabilistic Representations
Recent breakthroughs in semi-supervised semantic segmentation have been ...
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12/27/2021
An Empirical Study of Adder Neural Networks for Object Detection
Adder neural networks (AdderNets) have shown impressive performance on i...
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09/02/2020