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Insect-Foundation: A Foundation Model and Large-scale 1M Dataset for Visual Insect Understanding
In precision agriculture, the detection and recognition of insects play an essential role in the ability of crops to grow healthy and produce a high-quality yield.
CROVIA: Seeing Drone Scenes from Car Perspective via Cross-View Adaptation
First, a novel geometry-based constraint to cross-view adaptation is introduced based on the geometry correlation between views.
CoMaL: Conditional Maximum Likelihood Approach to Self-supervised Domain Adaptation in Long-tail Semantic Segmentation
They are insufficient to model both global and local structures of a given image, especially in small regions of tail classes.
OTAdapt: Optimal Transport-based Approach For Unsupervised Domain Adaptation
Unsupervised domain adaptation is one of the challenging problems in computer vision.
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