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cs.CV2026
Spatially-Weighted CLIP for Street-View Geo-localization
Ting Han, Fengjiao Li, Chunsong Chen +3
This paper proposes Spatially-Weighted CLIP (SW-CLIP), a novel framework for street-view geo-localization that explicitly incorporates spatial autocorrelation into vision-language…
cs.CV2023
From Global to Local: Multi-scale Out-of-distribution Detection
Ji Zhang, Lianli Gao, Bingguang Hao +3
Out-of-distribution (OOD) detection aims to detect "unknown" data whose labels have not been seen during the in-distribution (ID) training process. Recent progress in representatio…
cs.CV2022★ 1 cited
Fine-Grained Predicates Learning for Scene Graph Generation
Xinyu Lyu, Lianli Gao, Yuyu Guo +4
The performance of current Scene Graph Generation models is severely hampered by some hard-to-distinguish predicates, e.g., "woman-on/standing on/walking on-beach" or "woman-near/l…