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Found 7 papers, 3 papers with code
Building a Manga Dataset "Manga109" with Annotations for Multimedia Applications
Manga, or comics, which are a type of multimodal artwork, have been left behind in the recent trend of deep learning applications because of the lack of a proper dataset.
Team PFDet's Methods for Open Images Challenge 2019
Using this method, the team PFDet achieved 3rd and 4th place in the instance segmentation and the object detection track, respectively.
Chainer: A Deep Learning Framework for Accelerating the Research Cycle
Software frameworks for neural networks play a key role in the development and application of deep learning methods.
Sampling Techniques for Large-Scale Object Detection from Sparsely Annotated Objects
However, large datasets like Open Images Dataset v4 (OID) are sparsely annotated, and some measure must be taken in order to ensure the training of a reliable detector.
PFDet: 2nd Place Solution to Open Images Challenge 2018 Object Detection Track
We present a large-scale object detection system by team PFDet.
Object Detection for Comics using Manga109 Annotations
We annotated an existing image dataset of comics and created the largest annotation dataset, named Manga109-annotations.
ChainerCV: a Library for Deep Learning in Computer Vision
Despite significant progress of deep learning in the field of computer vision, there has not been a software library that covers these methods in a unifying manner.
Ranked #186 on
Object Detection
on COCO test-dev
