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Found 3 papers, 0 papers with code
SRFeat: Single Image Super-Resolution with Feature Discrimination
Generative adversarial networks (GANs) have recently been adopted to single image super resolution (SISR) and showed impressive results with realistically synthesized high-frequency textures.
Video Semantic Object Segmentation by Self-Adaptation of DCNN
This paper proposes a new framework for semantic segmentation of objects in videos.
RDFNet: RGB-D Multi-Level Residual Feature Fusion for Indoor Semantic Segmentation
Feature fusion blocks learn residual RGB and depth features and their combinations to fully exploit the complementary characteristics of RGB and depth data.
Ranked #27 on
Semantic Segmentation
on SUN-RGBD
(using extra training data)
