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cs.CV2022
SATVSR: Scenario Adaptive Transformer for Cross Scenarios Video Super-Resolution
Yongjie Chen, Tieru Wu
Video Super-Resolution (VSR) aims to recover sequences of high-resolution (HR) frames from low-resolution (LR) frames. Previous methods mainly utilize temporally adjacent frames to…
cs.CV2022★ 1 cited
FD-CAM: Improving Faithfulness and Discriminability of Visual Explanation for CNNs
Hui Li, Zihao Li, Rui Ma +1
Class activation map (CAM) has been widely studied for visual explanation of the internal working mechanism of convolutional neural networks. The key of existing CAM-based methods…