DiscoVL: Unveiling Disentangled C ross-Modal Representation Learning via Orthogonal Adversarial Regularization for V ision-Language Models

arXiv:2610.11113 · cs.CV · Submitted 2026-10-08 · Read on arXiv

cs.CV

Submitted: 2026-10-08

Updated: 2026-10-08

Comments: 20 pages, 6 figures, 11 tables. Accepted to ECCV 2026

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

Terminology

• Generalization — 26× in this paper · explained in 13 episodes
• Regularization — 26× in this paper · explained in 3 episodes
• Representation Learning — 15× in this paper · explained in 3 episodes
• Accuracy — 14× in this paper · explained in 1 episode
• Adaptation — 9× in this paper · explained in 1 episode
• Few-Shot Learning — 7× in this paper · explained in 4 episodes
• Benchmark — 6× in this paper · explained in 2 episodes
• Disentangled Cross-modal Representation Aligner — 6× in this paper
• Cosine Similarity — 5× in this paper · explained in 3 episodes
• Transformer — 5× in this paper · explained in 2 episodes
• Ablation — 4× in this paper · explained in 1 episode
• Consistency — 4× in this paper · explained in 3 episodes
• Entanglement — 4× in this paper · explained in 4 episodes
• alpha — 4× in this paper
• Ablation study — 3× in this paper · explained in 3 episodes
• Alignment — 3× in this paper
• Embeddings — 3× in this paper · explained in 2 episodes
• Fine-Tuning — 3× in this paper · explained in 5 episodes
• Latent Space — 3× in this paper · explained in 7 episodes
• Loss Function — 3× in this paper · explained in 2 episodes
• Robustness — 3× in this paper · explained in 5 episodes
• Clustering — 2× in this paper · explained in 2 episodes
• Core — 2× in this paper · explained in 2 episodes
• Distribution Shift — 2× in this paper · explained in 9 episodes
• Linear probe — 2× in this paper · explained in 2 episodes
• Redundancy — 2× in this paper · explained in 2 episodes
• Vision-Language Models (VLMs) — 2× in this paper · explained in 6 episodes
• Ablation Studies — 1× in this paper · explained in 1 episode
• AdamW Optimizer — 1× in this paper · explained in 1 episode
• Adaptive Mechanism — 1× in this paper · explained in 1 episode
• Decoupling — 1× in this paper · explained in 2 episodes
• Domain Shift — 1× in this paper · explained in 6 episodes
• Instruction Tuning — 1× in this paper · explained in 3 episodes
• Prompt Engineering — 1× in this paper · explained in 5 episodes
• Semantic Drift — 1× in this paper · explained in 3 episodes
• Transfer Learning — 1× in this paper · explained in 13 episodes
• Zero-Shot Generalization — 1× in this paper · explained in 5 episodes
• Zero-Shot Transfer — 1× in this paper · explained in 5 episodes

Sources

• Fine-Grained Visual Classification of Aircraft
• UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild

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