Exploiting Target Knowledge from MLLMs for Robust Few-Shot Segmentation

arXiv:2609.28949 · cs.CV · Submitted 2026-09-24 · Read on arXiv

cs.CV

Submitted: 2026-09-24

Updated: 2026-09-24

Terminology

Ablation — 15× in this paper · explained in 1 episode
Verification — 6× in this paper · explained in 2 episodes
Benchmark — 4× in this paper · explained in 2 episodes
Cross-Modal Fusion — 4× in this paper
Dual-Memory Debate-Fusion — 4× in this paper
Robustness — 4× in this paper · explained in 5 episodes
Cosine Similarity — 3× in this paper · explained in 3 episodes
Foundation Model — 3× in this paper · explained in 3 episodes
Adam — 2× in this paper · explained in 2 episodes
Adaptation — 2× in this paper · explained in 1 episode
Foundation Models — 2× in this paper · explained in 7 episodes
Generalization — 2× in this paper · explained in 13 episodes
Generative AI — 2× in this paper · explained in 2 episodes
Multi-Agent Debate — 2× in this paper
Transformer — 2× in this paper · explained in 2 episodes
Ablation Studies — 1× in this paper · explained in 1 episode
Ablation study — 1× in this paper · explained in 1 episode
Accuracy — 1× in this paper · explained in 1 episode
Consistency — 1× in this paper · explained in 3 episodes
Core — 1× in this paper · explained in 2 episodes
Feature Extraction — 1× in this paper · explained in 2 episodes
Fisher Information — 1× in this paper · explained in 3 episodes
Grounding — 1× in this paper · explained in 3 episodes
Hallucination — 1× in this paper · explained in 3 episodes
Instruction Tuning — 1× in this paper · explained in 2 episodes
Multi-Agent Framework — 1× in this paper · explained in 3 episodes
Regularization — 1× in this paper · explained in 3 episodes
Reinforcement Learning — 1× in this paper · explained in 4 episodes
Representation Learning — 1× in this paper · explained in 2 episodes

Terminology

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