EVALUATING VISUAL IMPRESSIONS BASED ON GAZE ANALYSIS AND DEEP LEARNING: A CASE STUDY OF ATTRACTIVENESS EVALUATION OF STREETS IN DENSELY BUILT-UP WOODEN RESIDENTIAL AREA

8 citations as recorded by crossref.

1. Evaluating the subjective perceptions of streetscapes using street-view images Y. Ogawa et al. 10.1016/j.landurbplan.2024.105073
2. A deep learning-based study on visual quality assessment of commercial renovation of Chinese traditional building facades J. Zhao et al. 10.1016/j.eiar.2025.107862
3. Emergence of eye-tracking in architectural research: a review of studies 1976–2021 P. Aalto & M. Steinert 10.1080/00038628.2024.2382796
4. MODEL FOR EVALUATING IMPRESSION OF STREETS IN RESIDENTIAL AREAS BASED ON IMAGE BIG DATA AND A LARGE QUESTIONNAIRE SURVEY T. OKI & S. KIZAWA 10.3130/aija.87.2102
5. Measuring visual walkability perception using panoramic street view images, virtual reality, and deep learning Y. Li et al. 10.1016/j.scs.2022.104140
6. People Flow Trend Estimation Approach and Quantitative Explanation Based on the Scene Level Deep Learning of Street View Images C. Zhao et al. 10.3390/rs15051362
7. MHSI-Net: an interpretable multi-modal deep learning network for street identification in historical maps Q. Liu et al. 10.1080/13658816.2025.2528098
8. Urban Perception Assessment from Street View Images Based on a Multifeature Integration Encompassing Human Visual Attention N. Yang et al. 10.1080/24694452.2024.2363783