[2606.21892] AgroSense 2.0: Cross-Modal Transformer Fusion with ...

where tabular nutrient features attend over image representations via multi-head attention, enabling richer inter-modal dependency modeling than shallow fusion. Third, we adopt a multi-task objective ...

[2605.04409] UAV as Urban Construction Change Monitor: A New ...

disentangles task-specific representations via multi-head gating, and injects detection-derived spatial priors into caption generation, enabling coherent semantic correspondence while preserving fine...

[2606.10637] A Multimodal Domain-Adversarial Network for Fragmentation ...

via multi-head attention. Crucially, a domain-adversarial training strategy is employed to learn invariant representations, enabling the model, which is trained on Monte Carlo simulations, to be reliably a...

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...Mesh Generation Acceleration via Multi-Head Speculative Decoding

Shengchuan ZhangView a PDF of the paper titled XSpecMesh: Quality-Preserving Auto-Regressive Mesh Generation Acceleration via Multi-Head Speculative Decoding, by Dian Chen and 4 other au...

... Less is More: Efficient Point Cloud Reconstruction via Multi-Head Decoders

arXiv paper 2505.19057: Less is More: Efficient Point Cloud Reconstruction via Multi-Head Decod... [Submitted on 25 May 2025] Title:Less is More: Efficient Point Cloud Reconstruction via Multi-Hea...

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[2503.14075v3] Growing a Multi-head Twig via Distillation and ...

we extend TwigVLM to an improved TwigVLM++ variant by introducing a novel multi-head twig architecture with a specialized pruning head. TwigVLM++ improves pruning quality via a two-stage traini...

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Growing a Multi-head Twig via Distillation and Reinforcement Learning to ...