The high-precision identification of unstable rock masses in rugged terrain is important for engineering safety and geological hazard prevention. However, shadow occlusion, complex backgrounds, and blurred boundaries caused by rugged terrain often limit the performance of optical…
Time series foundation models (TSFMs) have emerged as general-purpose models for time series analysis, but pretraining alone is often insufficient for reliable downstream deployment. Bridging this gap requires further intervention to handle domain shift, task heterogeneity, limit…
Embedding-based retrieval ranks items by their similarity to a query in a shared vector space and usually aims to return the highest-scoring items. In many production settings this is not what is wanted: given a seed set that expresses a fine-grained pattern, one needs more items…