arXiv (All)
open access
GeoBalance: Geometry-Aware Monitoring and Reconstruction with Asymmetric Optimization for Balanced Multimodal Learning
Multimodal classifiers can converge to modality-dominant solutions in which one modality dominates the joint prediction, suppressing the learning of others. Existing balancing methods mainly adjust losses, gradients, or modality contributions, largely treating modality imbalance as an optimization p
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- OneCanvas: 3D Scene Understanding via Panoramic Reprojection#1118611
- MVDG: Efficient Multi-view 3D Disambiguation on Unconstrained Real-World Images#1156033
- There and Back Again: Bidirectional Diffusion Bridges for Multimodality Translation#781167
- There and Back Again: Bidirectional Diffusion Bridges for Multimodality Translation#779792
- RoofNet: A Global Multimodal Dataset for Roof Material Classification#189274
Record · ID 1049272
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive