#dense-prediction News & Analysis

2 articles tagged with #dense-prediction. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles

AIBullisharXiv – CS AI · May 117/10

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Qwen3-VL-Seg: Unlocking Open-World Referring Segmentation with Vision-Language Grounding

Researchers introduce Qwen3-VL-Seg, an efficient vision-language model that converts bounding box predictions into pixel-level segmentation masks for open-world referring segmentation tasks. The framework adds minimal parameters (17M, 0.4% overhead) while achieving strong performance on language-intensive visual grounding across in-distribution and out-of-distribution benchmarks.

AIBullisharXiv – CS AI · Jun 26/10

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DenseMLLM: Standard Multimodal LLMs for Dense Prediction

Researchers introduce DenseMLLM, a multimodal large language model that performs fine-grained dense prediction tasks like semantic segmentation and depth estimation without requiring task-specific decoders. The minimalist approach achieves competitive performance while maintaining the generalist design philosophy of standard MLLMs, potentially simplifying model architecture and increasing practical applicability.