2 papers
cs.CV2024
Improving 3D Few-Shot Segmentation with Inference-Time Pseudo-Labeling
Mohammad Mozafari, Hosein Hasani, Reza Vahidimajd +2
In recent years, few-shot segmentation (FSS) models have emerged as a promising approach in medical imaging analysis, offering remarkable adaptability to segment novel classes with…
cs.CV2024
ComAlign: Compositional Alignment in Vision-Language Models
Ali Abdollah, Amirmohammad Izadi, Armin Saghafian +5
Vision-language models (VLMs) like CLIP have showcased a remarkable ability to extract transferable features for downstream tasks. Nonetheless, the training process of these models…