Fusion Complexity Is Not Fusion Quality: Backbone, Cross View Fusion and Metadata as Separate Factors in Pasture Biomass Regression

arXiv:2603.07819 · cs.CV, cs.LG · Submitted 2026-03-08 · Read on arXiv

cs.CV, cs.LG

Submitted: 2026-03-08

Updated: 2026-10-12

Code: https://github.com/WhiteMetagross/FusionComplexityInversionBiomass

Terminology

• Benchmark — 2× in this paper · explained in 2 episodes
• Adaptation — 1× in this paper · explained in 1 episode
• Foundation Model — 1× in this paper · explained in 3 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes
• Transformer — 1× in this paper · explained in 2 episodes

Sources

• Mamba: Linear-Time Sequence Modeling with Selective State Spaces
• Estimating Pasture Biomass from Top-View Images: A Dataset for Precision Agriculture
• VMamba: Visual State Space Model
• DINOv3
• Visual Mamba: A Survey and New Outlooks
• MambaVision: A Hybrid Mamba-Transformer Vision Backbone
• Gaussian Error Linear Units (GELUs)
• MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications

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