arXiv (All)
open access
Efficient Unified Multimodal Understanding (EUMU): Winning Solution for the MUMU Track at the 8th LSVOS Challenge
The Mobile Unified Multimodal Understanding (MUMU) Challenge requires a single efficient model to jointly perform multi-concept image tagging, open-vocabulary object detection, and image captioning. We present Efficient Unified Multimodal Understanding (EUMU), the winning solution for the MUMU Track
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
- Deeply Interleaved Text-Image Contexts for Multimodal LLMs Assessment#973401
- RAO-Nav: Probing Omni-Language Models for Zero-shot Semantic Audio-Visual Navigation#1116555
- EntropyPrune: Matrix Entropy Guided Visual Token Pruning for Multimodal Large Language Models#974331
- G$^2$TR: Generation-Guided Visual Token Reduction for Separate-Encoder Unified Multimodal Models#1117410
- Fine-Grained Multi Image Object Hallucination Benchmark#818709
Record · ID 1014045
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