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Found 6 papers, 3 papers with code
Adversarially Masked Video Consistency for Unsupervised Domain Adaptation
The second is a Masked Consistency Learning module to learn class-discriminative representations.
Training Vision-Language Transformers from Captions
Vision-Language Transformers can be learned without low-level human labels (e. g. class labels, bounding boxes, etc).
KAT: A Knowledge Augmented Transformer for Vision-and-Language
The primary focus of recent work with largescale transformers has been on optimizing the amount of information packed into the model's parameters.
Person Search Challenges and Solutions: A Survey
This paper surveyed the recent works on image-based and text-based person search from the perspective of challenges and solutions.
A Comprehensive Survey of Scene Graphs: Generation and Application
For example, given an image, we want to not only detect and recognize objects in the image, but also know the relationship between objects (visual relationship detection), and generate a text description (image captioning) based on the image content.
Learning Sound Events From Webly Labeled Data
In the last couple of years, weakly labeled learning for sound events has turned out to be an exciting approach for audio event detection.
