JierunChen/Ref-L4
Ref-L4 Introduction Referring expression comprehension (REC) involves localizing a target instance based on a textual description. Recent advancements in REC have been driven by large multimodal models (LMMs) like CogVLM, which achieved 92.44% accuracy on RefCOCO. However, this study questions whether existing benchmarks such as RefCOCO, RefCOCO+, and RefCOCOg, capture LMMs' comprehensive capabilities. These benchmarks vary in complexity, but our manual assessment… See the full description on the dataset page: https://huggingface.co/datasets/JierunChen/Ref-L4.
| Author / organization | JierunChen |
|---|---|
| License (as declared) | cc-by-nc-4.0 |
| Downloads | 600 (as reported by Hugging Face) |
| Likes | 10 |
| Created | 4 June 2024 |
| Last updated at source | 5 June 2024 |
Recent changes
- 16 Oct 2026 Description: Ref-L4 Introduction Referring expression comprehension (REC) involves localizing a target instance based on a textual description. Recent advancements in REC have been driven by large multimodal models (LMMs) like CogVLM, which achieved 92. → Ref-L4 Introduction Referring expression comprehension (REC) involves localizing a target instance based on a textual description. Recent advancements in REC have been driven by large multimodal models (LMMs) like CogVLM, which achieved 92.
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