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07/15/2022
ScaleNet: Searching for the Model to Scale
Recently, community has paid increasing attention on model scaling and c...
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03/25/2022
Searching for Network Width with Bilaterally Coupled Network
Searching for a more compact network width recently serves as an effecti...
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06/25/2021
Vision Transformer Architecture Search
Recently, transformers have shown great superiority in solving computer ...
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06/21/2021
Cross-layer Navigation Convolutional Neural Network for Fine-grained Visual Classification
Fine-grained visual classification (FGVC) aims to classify sub-classes o...
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06/16/2021
Structured DropConnect for Uncertainty Inference in Image Classification
With the complexity of the network structure, uncertainty inference has ...
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04/01/2021
DF^2AM: Dual-level Feature Fusion and Affinity Modeling for RGB-Infrared Cross-modality Person Re-identification
RGB-infrared person re-identification is a challenging task due to the i...
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04/01/2021
Unsupervised Person Re-identification via Simultaneous Clustering and Consistency Learning
Unsupervised person re-identification (re-ID) has become an important to...
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01/24/2021
Grad-CAM guided channel-spatial attention module for fine-grained visual classification
Fine-grained visual classification (FGVC) is becoming an important resea...
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11/17/2020
DS-UI: Dual-Supervised Mixture of Gaussian Mixture Models for Uncertainty Inference
This paper proposes a dual-supervised uncertainty inference (DS-UI) fram...
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10/11/2020
Advanced Dropout: A Model-free Methodology for Bayesian Dropout Optimization
Due to lack of data, overfitting ubiquitously exists in real-world appli...
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03/10/2020
Channel Attention with Embedding Gaussian Process: A Probabilistic Methodology
Channel attention mechanisms, as the key components of some modern convo...
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03/08/2020
Fine-Grained Visual Classification via Progressive Multi-Granularity Training of Jigsaw Patches
Fine-grained visual classification (FGVC) is much more challenging than ...
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02/11/2020
The Devil is in the Channels: Mutual-Channel Loss for Fine-Grained Image Classification
Key for solving fine-grained image categorization is finding discriminat...
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02/09/2020
Weakly Supervised Attention Pyramid Convolutional Neural Network for Fine-Grained Visual Classification
Classifying the sub-categories of an object from the same super-category...
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08/02/2018
Impacts of Weather Conditions on District Heat System
Using artificial neural network for the prediction of heat demand has at...
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08/02/2018
Mobile big data analysis with machine learning
This paper investigates to identify the requirement and the development ...
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07/28/2018
SEA: A Combined Model for Heat Demand Prediction
Heat demand prediction is a prominent research topic in the area of inte...
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07/08/2018
BALSON: Bayesian Least Squares Optimization with Nonnegative L1-Norm Constraint
A Bayesian approach termed BAyesian Least Squares Optimization with Nonn...
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05/30/2017