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Found 4 papers, 1 papers with code
FashionSAP: Symbols and Attributes Prompt for Fine-grained Fashion Vision-Language Pre-training
We propose a method for fine-grained fashion vision-language pre-training based on fashion Symbols and Attributes Prompt (FashionSAP) to model fine-grained multi-modalities fashion attributes and characteristics.
Refined Vision-Language Modeling for Fine-grained Multi-modal Pre-training
In this paper, we propose a fine-grained VLP scheme without object annotations from the linguistic perspective.
Prediction intervals for neural network models using weighted asymmetric loss functions
We propose a simple and efficient approach to generate a prediction intervals (PI) for approximated and forecasted trends.
VLDeformer: Vision-Language Decomposed Transformer for Fast Cross-Modal Retrieval
Cross-model retrieval has emerged as one of the most important upgrades for text-only search engines (SE).
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