The Visual Target Matters: Learning across the Visual Hierarchy for Brain-to-Image Retrieval

arXiv:2609.24136 · cs.CV · Submitted 2026-09-21 · Read on arXiv

cs.CV

Submitted: 2026-09-21

Updated: 2026-09-27

Terminology

• Accuracy — 23× in this paper · explained in 1 episode
• Alignment — 16× in this paper · explained in 1 episode
• Ablation — 7× in this paper · explained in 1 episode
• Generalization — 6× in this paper · explained in 13 episodes
• Aggregation — 4× in this paper · explained in 1 episode
• Consistency — 4× in this paper · explained in 3 episodes
• Embeddings — 4× in this paper · explained in 2 episodes
• Foundation Model — 3× in this paper · explained in 3 episodes
• Representation Learning — 3× in this paper · explained in 2 episodes
• Transformer — 3× in this paper · explained in 2 episodes
• Abstraction — 2× in this paper · explained in 1 episode
• Adaptation — 2× in this paper · explained in 1 episode
• Conference on Computer Vision and Pattern Recognition — 2× in this paper
• Distillation — 2× in this paper · explained in 2 episodes
• Semantic Alignment — 2× in this paper · explained in 3 episodes
• Ablation Studies — 1× in this paper · explained in 1 episode
• Adaptive Teaching — 1× in this paper · explained in 1 episode
• Contrastive Learning — 1× in this paper · explained in 5 episodes
• Decoupling — 1× in this paper · explained in 2 episodes
• Feature Extraction — 1× in this paper · explained in 2 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes
• Granularity Mismatch — 1× in this paper · explained in 2 episodes
• Knowledge Distillation — 1× in this paper · explained in 11 episodes
• Multimodal Learning — 1× in this paper · explained in 2 episodes

Sources

• Advancing Brainwave Modeling with a Codebook-Based Foundation Model
• Deep Models, Shallow Alignment: Uncovering the Granularity Mismatch in Neural Decoding

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