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Found 3 papers, 2 papers with code
How to Benchmark Vision Foundation Models for Semantic Segmentation?
The benchmarking setup recommended in this paper enables a performance analysis of VFMs for semantic segmentation.
Neural Architecture Search for Visual Anomaly Segmentation
This paper presents the first application of neural architecture search to the complex task of segmenting visual anomalies.
Evaluating Continual Test-Time Adaptation for Contextual and Semantic Domain Shifts
In this paper, our goal is to adapt a pre-trained convolutional neural network to domain shifts at test time.
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