3 citations · 3 across the 3 of their papers we have counts for
3 papers
Layer-wise Model Merging for Unsupervised Domain Adaptation in Segmentation Tasks
Roberto Alcover-Couso, Juan C. SanMiguel, Marcos Escudero-Viñolo +1
Merging parameters of multiple models has resurfaced as an effective strategy to enhance task performance and robustness, but prior work is limited by the high costs of ensemble cr…
Open-Vocabulary Attention Maps with Token Optimization for Semantic Segmentation in Diffusion Models
Pablo Marcos-Manchón, Roberto Alcover-Couso, Juan C. SanMiguel +1
Diffusion models represent a new paradigm in text-to-image generation. Beyond generating high-quality images from text prompts, models such as Stable Diffusion have been successful…
Soft labelling for semantic segmentation: Bringing coherence to label down-sampling
Roberto Alcover-Couso, Marcos Escudero-Vinolo, Juan C. SanMiguel +1
In semantic segmentation, training data down-sampling is commonly performed due to limited resources, the need to adapt image size to the model input, or improve data augmentation.…