Search Results for author:
Found 6 papers, 1 papers with code
ImageBERT: Cross-modal Pre-training with Large-scale Weak-supervised Image-Text Data
In this paper, we introduce a new vision-language pre-trained model -- ImageBERT -- for image-text joint embedding.
Ranked #15 on
Zero-Shot Cross-Modal Retrieval
on COCO 2014
A Novel Video Salient Object Detection Method via Semi-supervised Motion Quality Perception
Consequently, we can achieve a significant performance improvement by using this new training set to start a new round of network training.
Aligning geographic entities from historical maps for building knowledge graphs
Despite their valuable content, it is often challenging to access and use the information in historical maps, due to their forms of paper-based maps or scanned images.
Deep Keyphrase Completion
Keyphrase provides accurate information of document content that is highly compact, concise, full of meanings, and widely used for discourse comprehension, organization, and text retrieval.
From Statistical Methods to Deep Learning, Automatic Keyphrase Prediction: A Survey
In this paper, we comprehensively summarize representative studies from the perspectives of dominant models, datasets and evaluation metrics.
Multi-level protein pre-training with Vabs-Net
In recent years, there has been a surge in the development of 3D structure-based pre-trained protein models, representing a significant advancement over pre-trained protein language models in various downstream tasks.
