4 citations · 4 across the 4 of their papers we have counts for
4 papers
Text-driven Prompt Generation for Vision-Language Models in Federated Learning
Chen Qiu, Xingyu Li, Chaithanya Kumar Mummadi +4
Prompt learning for vision-language models, e.g., CoOp, has shown great success in adapting CLIP to different downstream tasks, making it a promising solution for federated learnin…
Zero-Shot Visual Classification with Guided Cropping
Piyapat Saranrittichai, Mauricio Munoz, Volker Fischer +1
Pretrained vision-language models, such as CLIP, show promising zero-shot performance across a wide variety of datasets. For closed-set classification tasks, however, there is an i…
Multi-Attribute Open Set Recognition
Piyapat Saranrittichai, Chaithanya Kumar Mummadi, Claudia Blaiotta +2
Open Set Recognition (OSR) extends image classification to an open-world setting, by simultaneously classifying known classes and identifying unknown ones. While conventional OSR a…
Overcoming Shortcut Learning in a Target Domain by Generalizing Basic Visual Factors from a Source Domain
Piyapat Saranrittichai, Chaithanya Kumar Mummadi, Claudia Blaiotta +2
Shortcut learning occurs when a deep neural network overly relies on spurious correlations in the training dataset in order to solve downstream tasks. Prior works have shown how th…