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Closer Look at the Uncertainty Estimation in Semantic Segmentation under Distributional Shift
While recent computer vision algorithms achieve impressive performance on many benchmarks, they lack robustness - presented with an image from a different distribution, (e. g. weather or lighting conditions not considered during training), they may produce an erroneous prediction.
Robustness in Compressed Neural Networks for Object Detection
It was further shown that while data imbalance methods brought only a slight increase in accuracy for the baseline model (without compression), the impact was more striking at higher compression rates for the structured pruning.
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