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20242026
most citedWISE: A World Knowledge-Informed Semantic Evaluation for Text-to-Image Generation

4 citations · 6 across the 6 of their papers we have counts for

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cs.AI2026

SAM3-LiteText: An Anatomical Study of the SAM3 Text Encoder for Efficient Vision-Language Segmentation

Chengxi Zeng, Yuxuan Jiang, Ge Gao +6

Vision-language segmentation models such as SAM3 enable flexible, prompt-driven visual grounding, but inherit large, general-purpose text encoders originally designed for open-ende…