By establishing this testbed, the research opens new doors for further exploration in domain conversion and composed image retrieval and provides a more robust benchmarking framework for future research. “We didn't think the word domain should be limited to style, so we re-purposed the NICO++ dataset for this task,” Nikos adds. “Here, NICO’s definition of domain is context. Now, we can have photographs that are classes. For example, a fox near water or a fox photographed in dim light. These are actually domains. There are domain shifts in these subsets of the dataset. We also find this very interesting.” To learn more about Nikos’s work, visit Oral Session 8.2: Vision and Language I from 14:00 to 15:00. Remember that Nikos presents another oral a few minutes later at session 8.4. Follow him if you want to find out about both his oral presentations! 7 DAILY WACV Monday Composed Image Retrieval …
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