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Found 7 papers, 3 papers with code
Multi Receptive Field Network for Semantic Segmentation
Semantic segmentation is one of the key tasks in computer vision, which is to assign a category label to each pixel in an image.
Ranked #20 on
Semantic Segmentation
on Cityscapes test
(using extra training data)
VOC-ReID: Vehicle Re-identification based on Vehicle-Orientation-Camera
Then we use orientation and camera similarity as penalty to get final similarity.
Arbitrary Shape Scene Text Detection with Adaptive Text Region Representation
Here, recurrent neural network based adaptive text region representation is proposed for text region refinement, where a pair of boundary points are predicted each time step until no new points are found.
Monocular Relative Depth Perception With Web Stereo Data Supervision
In this paper we study the problem of monocular relative depth perception in the wild.
Deep Residual Text Detection Network for Scene Text
Scene text detection is a challenging problem in computer vision.
R2CNN: Rotational Region CNN for Orientation Robust Scene Text Detection
In this paper, we propose a novel method called Rotational Region CNN (R2CNN) for detecting arbitrary-oriented texts in natural scene images.
Auto-painter: Cartoon Image Generation from Sketch by Using Conditional Generative Adversarial Networks
Learning to generate colorful cartoon images from black-and-white sketches is not only an interesting research problem, but also a potential application in digital entertainment.
