IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE …

ing. Our multi-scale (resolution) fusion module resembles the two pooling modules. The differences include: (1) Our fusion outputs four-resolution representations other than only one, and (2) our fusion modules are repeated several times which is inspired by deep fusion [129], [143], [155], [178], [184]. Our approach. Our network connects high ...

  Multi, Network, Scale, Fusion

Multi-Scale Boosted Dehazing Network With Dense Feature …

Multi-scale feature fusion. Feature fusion has been widely used in the network design for performance gain by exploit-ing features from different layers. Numerous image restora-tion methods fuse features by using dense connection [61], feature concatenation [64] or weighted element-wise sum-mation [9, 62]. Most existing feature fusion modules reuse

  Multi, Network, Scale, Fusion

Multi-Stage Progressive Image Restoration

mechanism of cross-stage feature fusion (CSFF) is added that helps propagating multi-scale contextualized features from the earlier to later stages. Furthermore, this method eases the information flow among stages, which is effective in stabilizing the multi-stage network optimization. The main contributions of this work are:

  Multi, Network, Scale, Fusion

JOURNAL OF LA DS-TransUNet: Dual Swin Transformer U-Net ...

tract multi-scale features for image classification. Multi Vision Transformers (MViT) [22] is present for video and image recognition by connecting multi-scale feature hierarchies with transformer models. Multi-modal Multi-scale TRansformer (M2TR) [23] uses a multi-scale transformer to detect the local inconsistency at different scales.

  Multi, Scale

AAAI-20 Accepted Paper List.3.23.20docx

Yu.Ming!Shang!(Bit)*;!Heyan!Huang!(Beijing!Engineering!Research!Center!of!High!Volume!Language!Information Processing!and!Cloud!Computing!Applications,!Department!of ...