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Found 4 papers, 4 papers with code
Vision Calorimeter for Anti-neutron Reconstruction: A Baseline
In this study, we introduce Vision Calorimeter (ViC), a baseline method for anti-neutron reconstruction that leverages deep learning detectors to analyze the implicit relationships between EMC responses and incident $\bar{n}$ characteristics.
vHeat: Building Vision Models upon Heat Conduction
A fundamental problem in learning robust and expressive visual representations lies in efficiently estimating the spatial relationships of visual semantics throughout the entire image.
VMamba: Visual State Space Model
Designing computationally efficient network architectures persists as an ongoing necessity in computer vision.
Spatial Transform Decoupling for Oriented Object Detection
Vision Transformers (ViTs) have achieved remarkable success in computer vision tasks.
Ranked #2 on
Object Detection In Aerial Images
on DOTA
(using extra training data)
