Abstract
The evidence base for vision-in-the-loop search spans Visual Image Browsing and Exploration (Vibe): User Evaluations of Image Search…, while related work on ISE: Interactive Image Search using Visual Content and Query-by-visual-search: multimodal framework for content-based image retrieval broadens the methodological context. The discussion uses interactive exploration, active visual search, and long-horizon planning as analytical lenses. Rather than ranking reported results, it examines which claims remain comparable across tasks, datasets, and operating conditions. By aligning terminology and evidence requirements, the article offers a more defensible basis for future empirical work. The final recommendations focus on traceable data, bounded claims, and evaluation under meaningful operating conditions.
References
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