Learning to Detect Salient Object With Multi-Source Weak Supervision
High-cost pixel-level annotations makes it appealing to train saliency detection models with weak supervision. However, a single weak supervision source hardly contain enough information to train a…
Defocus Blur Detection via Multi-stream Bottom-Top-Bottom Fully Convolutional…
Defocus blur detection (DBD) is aimed to estimate the probability of each pixel being in-focus or out-of-focus. This process has been paid considerable attention due to its remarkable potential app…
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