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Found 4 papers, 2 papers with code
Instance-Variant Loss with Gaussian RBF Kernel for 3D Cross-modal Retriveal
Hence, the performance of cross-modal retrieval methods heavily depends on the representational capacity of this embedding space.
Learning Semantic-Aware Knowledge Guidance for Low-Light Image Enhancement
To address this issue, we propose a novel semantic-aware knowledge-guided framework (SKF) that can assist a low-light enhancement model in learning rich and diverse priors encapsulated in a semantic segmentation model.
Ranked #3 on
Low-Light Image Enhancement
on LOLv2
Semantic Enhanced Knowledge Graph for Large-Scale Zero-Shot Learning
In this paper, we provide a new semantic enhanced knowledge graph that contains both expert knowledge and categories semantic correlation.
Universal Weighting Metric Learning for Cross-Modal Matching
Furthermore, we introduce a new polynomial loss under the universal weighting framework, which defines a weight function for the positive and negative informative pairs respectively.
