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Found 5 papers, 2 papers with code
Global and Local Enhancement Networks for Paired and Unpaired Image Enhancement
Especially, we propose a two-stage training scheme based on generative adversarial networks for unpaired learning.
PieNet: Personalized Image Enhancement Network
First, we represent various users' preferences for enhancement as feature vectors in an embedding space, called preference vectors.
Monocular Depth Estimation Using Whole Strip Masking and Reliability-Based Refinement
We propose a monocular depth estimation algorithm, which extracts a depth map from a single image, based on whole strip masking (WSM) and reliability-based refinement.
Semantic Line Detection and Its Applications
Then, we develop the line pooling layer to extract a feature vector for each candidate line from the feature maps.
Ranked #3 on
Line Detection
on SEL
SOWP: Spatially Ordered and Weighted Patch Descriptor for Visual Tracking
The patch weights represent the importance of each patch in the description of foreground information, and are used to construct an object descriptor, called spatially ordered and weighted patch (SOWP) descriptor.
