Search Results for author:
Found 5 papers, 4 papers with code
ALIP: Adaptive Language-Image Pre-training with Synthetic Caption
However, the presence of intrinsic noise and unmatched image-text pairs in web data can potentially affect the performance of representation learning.
Unicom: Universal and Compact Representation Learning for Image Retrieval
To further enhance the low-dimensional feature representation, we randomly select partial feature dimensions when calculating the similarities between embeddings and class-wise prototypes.
Ranked #1 on
Image Retrieval
on SOP
(using extra training data)
A Self-Adjusting Fusion Representation Learning Model for Unaligned Text-Audio Sequences
In this paper, a Self-Adjusting Fusion Representation Learning Model (SA-FRLM) is proposed to learn robust crossmodal fusion representations directly from the unaligned text and audio sequences.
Cross-Modal BERT for Text-Audio Sentiment Analysis
In this paper, we propose the Cross-Modal BERT (CM-BERT), which relies on the interaction of text and audio modality to fine-tune the pre-trained BERT model.
Ranked #3 on
Multimodal Sentiment Analysis
on MOSI
The spread of low-credibility content by social bots
Communication, cognitive, social, and computer scientists are engaged in efforts to study the complex causes for the viral diffusion of misinformation online and to develop solutions, while search and social media platforms are beginning to deploy countermeasures.
Social and Information Networks Computers and Society Physics and Society
