UnfoldCRF: Structured Mask Refinement with Image-Conditioned Latent Regions

arXiv:2609.33996 · cs.CV · Submitted 2026-09-27 · Read on arXiv

cs.CV

Submitted: 2026-09-27

Updated: 2026-09-27

Comments: 16 pages

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Benchmark — 14× in this paper · explained in 2 episodes
• Consistency — 8× in this paper · explained in 3 episodes
• Accuracy — 6× in this paper · explained in 1 episode
• Active Regions — 6× in this paper · explained in 1 episode
• Provenance — 5× in this paper · explained in 3 episodes
• Embeddings — 4× in this paper · explained in 2 episodes
• Generalization — 4× in this paper · explained in 13 episodes
• Ablation — 3× in this paper · explained in 1 episode
• Aggregation — 2× in this paper · explained in 1 episode
• Diffusion Process — 2× in this paper · explained in 2 episodes
• Iterative Refinement — 2× in this paper · explained in 3 episodes
• Model-Agnostic — 2× in this paper · explained in 2 episodes
• Ablation study — 1× in this paper · explained in 1 episode
• Adam — 1× in this paper · explained in 2 episodes
• Convergence Guarantees — 1× in this paper · explained in 3 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes
• Generative AI — 1× in this paper · explained in 2 episodes
• Instance Segmentation — 1× in this paper · explained in 3 episodes
• Mixture of Experts — 1× in this paper · explained in 2 episodes
• Reconstruction Error — 1× in this paper · explained in 2 episodes

Sources

• Rethinking Atrous Convolution for Semantic Image Segmentation
• Enhanced-alignment Measure for Binary Foreground Map Evaluation
• DINOv2: Learning Robust Visual Features without Supervision
• Uncertainty-Masked Bernoulli Diffusion for Camouflaged Object Detection Refinement

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