MetaphorVU: Towards Metaphorical Video Understanding
Metaphorical videos are prevalent across various real-world scenarios to convey complex ideas, and understanding them typically requires high-order cognitive capabilities. The lack of systematic studies on metaphorical video understanding not only constrains the real-world applicability of MLLMs but also impedes the thorough assessment of their high-order cognitive capabilities. To bridge this gap, we propose MetaphorVU-Bench, the first systematic and comprehensive benchmark dedicated to metaphorical video understanding. Through experiments, we find current MLLMs struggle with accurate metaphorical video understanding, lagging far behind human level, primarily due to defective cross-domai...
| Authors | Zhuoqun Li, Boxi Cao, Guiping Jiang et al. |
|---|---|
| Primary category | cs.CV |
| Published | 25 May 2026 |
| Last updated at source | 25 May 2026 |
Connected in the knowledge graph
- peter23fdsfs/MetaphorVU-BenchDataset · cited by
- lzq2021/MetaphorVU-BenchDataset · cited by
Models and datasets referencing this paper
- lzq2021/MetaphorVU-BenchDataset
- peter23fdsfs/MetaphorVU-BenchDataset
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