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06/09/2023
DetZero: Rethinking Offboard 3D Object Detection with Long-term Sequential Point Clouds
Existing offboard 3D detectors always follow a modular pipeline design t...
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05/12/2023
Self-Learning Symmetric Multi-view Probabilistic Clustering
Multi-view Clustering (MVC) has achieved significant progress, with many...
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03/25/2023
Towards Accurate Post-Training Quantization for Vision Transformer
Vision transformer emerges as a potential architecture for vision tasks....
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01/07/2022
Compressing Models with Few Samples: Mimicking then Replacing
Few-sample compression aims to compress a big redundant model into a sma...
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07/29/2021
Multi-objective optimization and explanation for stroke risk assessment in Shanxi province
Stroke is the top leading causes of death in China (Zhou et al. The Lanc...
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05/29/2021
Analysis and classification of main risk factors causing stroke in Shanxi Province
In China, stroke is the first leading cause of death in recent years. It...
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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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05/14/2020
Dynamic Sparse Training: Find Efficient Sparse Network From Scratch With Trainable Masked Layers
We present a novel network pruning algorithm called Dynamic Sparse Train...
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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
