PTS is a cascaded neural network for video object segmentation that integrates proposal, tracking, and segmentation modules with a dynamic-reference adaptation scheme to report state-of-the-art results on DAVIS'17 and YouTube-VOS.
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MWCNN integrates wavelet transforms into CNNs for image restoration tasks like denoising and super-resolution by using wavelet downsampling and inverse transforms to maintain resolution and expand context.
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Proposal, Tracking and Segmentation (PTS): A Cascaded Network for Video Object Segmentation
PTS is a cascaded neural network for video object segmentation that integrates proposal, tracking, and segmentation modules with a dynamic-reference adaptation scheme to report state-of-the-art results on DAVIS'17 and YouTube-VOS.
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Multi-level Wavelet Convolutional Neural Networks
MWCNN integrates wavelet transforms into CNNs for image restoration tasks like denoising and super-resolution by using wavelet downsampling and inverse transforms to maintain resolution and expand context.