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Found 4 papers, 1 papers with code
Task-aware Adaptive Learning for Cross-domain Few-shot Learning
In this paper, we first observe the dependence of task-specific parameter configuration on the target task.
TLRM: Task-level Relation Module for GNN-based Few-Shot Learning
We consider this method of measuring relation of samples only models the sample-to-sample relation, while neglects the specificity of different tasks.
Competing Ratio Loss for Discriminative Multi-class Image Classification
However, during the training of the deep convolutional neural network, the value of NLLR is not always positive or negative, which severely affects the convergence of NLLR.
Competing Ratio Loss for Discriminative Multi-class Image Classification
A lot of studies of image classification based on deep convolutional neural network focus on the network structure to improve the image classification performance.
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