3 citations · 3 across the 3 of their papers we have counts for
3 papers
NICE: CVPR 2023 Challenge on Zero-shot Image Captioning
Taehoon Kim, Pyunghwan Ahn, Sangyun Kim +39
In this report, we introduce NICE (New frontiers for zero-shot Image Captioning Evaluation) project and share the results and outcomes of 2023 challenge. This project is designed t…
Large-Scale Bidirectional Training for Zero-Shot Image Captioning
Taehoon Kim, Mark Marsden, Pyunghwan Ahn +4
When trained on large-scale datasets, image captioning models can understand the content of images from a general domain but often fail to generate accurate, detailed captions. To…
Can you recommend content to creatives instead of final consumers? A RecSys based on user's preferred visual styles
Raul Gomez Bruballa, Lauren Burnham-King, Alessandra Sala
Providing meaningful recommendations in a content marketplace is challenging due to the fact that users are not the final content consumers. Instead, most users are creatives whose…