3 papers
cs.CV2026
Foundation Model-Driven Semantic Change Detection in Remote Sensing Imagery
Hengtong Shen, Li Yan, Hong Xie +5
Remote sensing (RS) change detection is essential for interpreting surface dynamics. Semantic change detection (SCD) further enables pixel-level understanding of multi-class transi…
cs.RO2026
MOTIF: Learning Action Motifs for Few-shot Cross-Embodiment Transfer
Heng Zhi, Wentao Tan, Lei Zhu +4
While vision-language-action (VLA) models have advanced generalist robotic learning, cross-embodiment transfer remains challenging due to kinematic heterogeneity and the high cost…
cs.CV2025
A Semantically Enhanced Generative Foundation Model Improves Pathological Image Synthesis
Xianchao Guan, Zhiyuan Fan, Yifeng Wang +11
The development of clinical-grade artificial intelligence in pathology is limited by the scarcity of diverse, high-quality annotated datasets. Generative models offer a potential s…