UNMATCH: Selective Unbalanced Token-Patch Matching for Forensic Image-Claim Verification

arXiv:2609.31766 · cs.CV · Submitted 2026-09-24 · Read on arXiv

cs.CV

Submitted: 2026-09-24

Updated: 2026-09-24

Terminology

Accuracy — 11× in this paper · explained in 1 episode
Alignment — 11× in this paper · explained in 1 episode
Verification — 11× in this paper · explained in 2 episodes
Benchmark — 9× in this paper · explained in 2 episodes
Grounding — 7× in this paper · explained in 3 episodes
Adaptation — 6× in this paper · explained in 1 episode
AUC — 5× in this paper · explained in 2 episodes
Optimal Transport — 4× in this paper · explained in 5 episodes
Embeddings — 3× in this paper · explained in 2 episodes
Consistency — 2× in this paper · explained in 3 episodes
Contrastive Learning — 2× in this paper · explained in 5 episodes
Provenance — 2× in this paper · explained in 3 episodes
Reinforcement Learning — 2× in this paper · explained in 4 episodes
Core — 1× in this paper · explained in 2 episodes
Cosine Similarity — 1× in this paper · explained in 3 episodes
Distillation — 1× in this paper · explained in 2 episodes
Explainability — 1× in this paper · explained in 3 episodes
Knowledge Graph — 1× in this paper · explained in 7 episodes
Knowledge graphs — 1× in this paper · explained in 2 episodes
Self-Supervised Learning — 1× in this paper · explained in 7 episodes
Tokenization — 1× in this paper · explained in 2 episodes
Unified Framework — 1× in this paper · explained in 5 episodes

Sources

MAVEN-T: Reinforced Heterogeneous Distillation for Real-Time Multi-Agent Trajectory Prediction

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