UniAR: A Unified Framework for Autism Recognition Enhanced by Multi-View Prompt Learning

arXiv:2609.31298 · cs.CV, cs.AI · Submitted 2026-09-25 · Read on arXiv

cs.CV, cs.AI

Submitted: 2026-09-25

Updated: 2026-09-28

Terminology

• Benchmark — 34× in this paper · explained in 2 episodes
• Alignment — 32× in this paper · explained in 1 episode
• AUC — 21× in this paper · explained in 2 episodes
• Accuracy — 18× in this paper · explained in 1 episode
• Autism Spectrum Disorder — 9× in this paper
• Robustness — 8× in this paper · explained in 5 episodes
• Semantic Alignment — 8× in this paper · explained in 3 episodes
• Unified Framework — 8× in this paper · explained in 5 episodes
• Interpretability — 7× in this paper · explained in 15 episodes
• Generalization — 5× in this paper · explained in 13 episodes
• Multimodal Learning — 5× in this paper · explained in 2 episodes
• Ablation — 4× in this paper · explained in 1 episode
• Abstraction — 4× in this paper · explained in 1 episode
• Consistency — 4× in this paper · explained in 3 episodes
• Distribution Shift — 4× in this paper · explained in 5 episodes
• Embeddings — 4× in this paper · explained in 2 episodes
• Quantization — 4× in this paper · explained in 12 episodes
• Representation Learning — 4× in this paper · explained in 2 episodes
• Adaptation — 3× in this paper · explained in 1 episode
• Grounding — 3× in this paper · explained in 3 episodes
• Multi-Scale Alignment Module — 3× in this paper
• Transformer — 3× in this paper · explained in 2 episodes
• Ablation study — 2× in this paper · explained in 1 episode
• Adam — 2× in this paper · explained in 2 episodes
• Distillation — 2× in this paper · explained in 2 episodes
• Instruction Tuning — 2× in this paper · explained in 2 episodes
• Latent Space — 2× in this paper · explained in 7 episodes
• Multimodal Fusion — 2× in this paper · explained in 3 episodes
• Predictive Modeling — 2× in this paper · explained in 2 episodes
• Affective Computing — 1× in this paper · explained in 1 episode
• Area Under the ROC Curve — 1× in this paper
• Attention Mechanism — 1× in this paper · explained in 2 episodes
• Continual Learning — 1× in this paper · explained in 2 episodes
• Core — 1× in this paper · explained in 2 episodes
• Decoupling — 1× in this paper · explained in 2 episodes
• External Validation — 1× in this paper · explained in 2 episodes
• International Symposium on Biomedical Imaging — 1× in this paper
• Knowledge Distillation — 1× in this paper · explained in 11 episodes
• Loss Function — 1× in this paper · explained in 2 episodes
• Mixture-of-Experts (MoE) — 1× in this paper · explained in 7 episodes
• Q-learning — 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

Sources

• Venus-DeFakerOne: Unified Fake Image Detection & Localization
• Deep Multimodal Learning with Missing Modality: A Survey
• Multi-Grained Vision Language Pre-Training: Aligning Texts with Visual Concepts
• MLLM-CL: Continual Learning for Multimodal Large Language Models

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