CORTIVA: Candidate-Score Fusion of Complementary Visual Teachers for EEG- and MEG-to-Image Retrieval

arXiv:2608.01355 · cs.CV · Submitted 2026-08-02 · Read on arXiv

cs.CV

Submitted: 2026-08-02

Updated: 2026-10-13

Comments: 47 pages, 19 figures; includes supplementary information. Code: https://github.com/Fuyunhan/CORTIVA

Code: https://github.com/Fuyunhan/CORTIVA

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

Terminology

• Alignment — 1× in this paper · explained in 1 episode
• Benchmark — 1× in this paper · explained in 2 episodes

Sources

• Aligning What EEG Can See: Structural Representations for Brain-Vision Matching
• Subject-Aware Multi-Granularity Alignment for Zero-Shot EEG-to-Image Retrieval
• Multi-Level Bidirectional Biomimetic Learning for EEG-Based Visual Decoding
• Representation Learning with Contrastive Predictive Coding
• Distilling the Knowledge in a Neural Network
• Auto-Encoding Variational Bayes

Related papers

• Loss Knows Best: Detecting Annotation Errors in Videos via Loss Trajectories
• AnchorWeave: World-Consistent Video Generation with Retrieved Local Spatial Memories
• Benchmarking the Robustness of Foundation Models for Mammography under Domain Shift
• MambaX-Net: Dual-Input Mamba-Enhanced Cross-Attention Network for Longitudinal MRI Segmentation
• TeleOCR: Navigating Document Parsing Across Digital and Camera-Captured Documents
• A Survey on Efficient Vision-Language-Action Models