Weakly Supervised Object Segmentation by Background Conditional Divergence
PositiveArtificial Intelligence
A new method for automatic object segmentation has been proposed, addressing the challenges of specialized image domains that lack extensive labeled data. This innovative approach utilizes weak supervision to train a masking network for effective binary object segmentation, making strides in fields like biomedical imaging and remote sensing.
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