3 papers
cs.CV2026
Beyond Argmax: A Mechanistic Study of Semantic Retention in Frozen Foundation-Model Composition for Generalized Few-Shot 3D Segmentation
Silas Kwabla Gah, Ebenezer Owusu
Classical classifier-combination work distinguishes score-level fusion from hard decision-level voting. We revisit this distinction where independently pretrained, frozen foundatio…
cs.CV2026
Training-Free Open-Vocabulary 3D Point-Cloud Segmentation on the Generalized Few-Shot Benchmark
Silas kwabla Gah, Ebenezer Owusu
Generalized few-shot 3D point-cloud segmentation (GFS-PCS) asks a model to segment a scene into many base classes seen at training time and a set of novel classes. The state of the…
cs.CV2026
Training-Free Generalized Few-Shot Segmentation through Open-Vocabulary Semantic Arbitration
Silas Kwabla Gah, Ebenezer Owusu
Generalized Few-Shot Semantic Segmentation (GFSS) has traditionally been approached as a representation-learning problem, requiring task-specific adaptation to incorporate novel cl…