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PTN: A Poisson Transfer Network for Semi-supervised Few-shot Learning
The predicament in semi-supervised few-shot learning (SSFSL) is to maxim...
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DSP: A Differential Spatial Prediction Scheme for Comprehensive real industrial datasets
Inverse Distance Weighted models (IDW) have been widely used for predict...
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TOAN: Target-Oriented Alignment Network for Fine-Grained Image Categorization with Few Labeled Samples
The challenges of high intra-class variance yet low inter-class fluctuat...
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CFR-RL: Traffic Engineering with Reinforcement Learning in SDN
Traditional Traffic Engineering (TE) solutions can achieve the optimal o...
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To Balance or Not to Balance: An Embarrassingly Simple Approach for Learning with Long-Tailed Distributions
Real-world visual data often exhibits a long-tailed distribution, where ...
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Low-Rank Pairwise Alignment Bilinear Network For Few-Shot Fine-Grained Image Classification
Deep neural networks have demonstrated advanced abilities on various vis...
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Compare More Nuanced:Pairwise Alignment Bilinear Network For Few-shot Fine-grained Learning
The recognition ability of human beings is developed in a progressive wa...
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A Pulmonary Nodule Detection Model Based on Progressive Resolution and Hierarchical Saliency
Detection of pulmonary nodules on chest CT is an essential step in the e...
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Asking the Difficult Questions: Goal-Oriented Visual Question Generation via Intermediate Rewards
Despite significant progress in a variety of vision-and-language problem...
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Kill Two Birds with One Stone: Weakly-Supervised Neural Network for Image Annotation and Tag Refinement
The number of social images has exploded by the wide adoption of social ...
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Multi-Label Image Classification with Regional Latent Semantic Dependencies
Deep convolution neural networks (CNN) have demonstrated advanced perfor...
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