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Found 4 papers, 3 papers with code
WenLan: Bridging Vision and Language by Large-Scale Multi-Modal Pre-Training
We further construct a large Chinese multi-source image-text dataset called RUC-CAS-WenLan for pre-training our BriVL model.
Ranked #1 on
Image Retrieval
on RUC-CAS-WenLan
IEPT: Instance-Level and Episode-Level Pretext Tasks for Few-Shot Learning
Importantly, at the episode-level, two SSL-FSL hybrid learning objectives are devised: (1) The consistency across the predictions of an FSL classifier from different extended episodes is maximized as an episode-level pretext task.
AdarGCN: Adaptive Aggregation GCN for Few-Shot Learning
To address this problem, we propose a graph convolutional network (GCN)-based label denoising (LDN) method to remove the irrelevant images.
Recursive Visual Attention in Visual Dialog
Visual dialog is a challenging vision-language task, which requires the agent to answer multi-round questions about an image.
Ranked #13 on
Visual Dialog
on VisDial v0.9 val
