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Pooling Revisited: Your Receptive Field is Suboptimal
The size and shape of the receptive field determine how the network aggregates local information and affect the overall performance of a model considerably.
Learning Debiased and Disentangled Representations for Semantic Segmentation
By randomly eliminating certain class information in each training iteration, we effectively reduce feature dependencies among classes, and the model is able to learn more debiased and disentangled feature representations.
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