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cs.CV2025
ReynoldsFlow: Physics-Inspired Spatiotemporal Flow Representation for Video Understanding
Yu-Hsi Chen, Ching-Kai Lin, PingKong Huang +1
Video understanding has largely relied on deep spatiotemporal architectures, including 3D convolutional networks and optical flow (OF) based models. While effective, these methods…
cs.CV2020
Spectral Analysis for Semantic Segmentation with Applications on Feature Truncation and Weak Annotation
Li-Wei Chen, Wei-Chen Chiu, Chin-Tien Wu
It is well known that semantic segmentation neural networks (SSNNs) produce dense segmentation maps to resolve the objects' boundaries while restrict the prediction on down-sampled…