背景
图像分类、目标检测、语义分割这三大领域密不可分,在做项目过程中经常需要三者结合,而深入学习便需要对论文有深入的研究,搜集论文也是一项难事。本文转自:语义分割
声明:
1.如果转载请注明原作者来源,目前本人并不是原作者,在此只是转载!
2.截止 2018.09.15 尚未对本内容进行优化和筛选,后续对有针对性的筛选和整理,尤其在代码复现和论文理解方面。
3.如果有兴趣对这方面的论文进行深入研究,或者有更好的论文推荐的话,欢迎联系我:zhuchaojie@buaa.edu.cn
Semantic Segmentation
Panoptic Segmentation
- Panoptic Segmentation – 2018 [Paper]
Human Parsing
- Macro-Micro Adversarial Network for Human Parsing – ECCV2018 [Paper] [Code-PyTorch]
- Holistic, Instance-level Human Parsing – 2017 [Paper]
- Semi-Supervised Hierarchical Semantic Object Parsing – 2017 [Paper]
- Towards Real World Human Parsing: Multiple-Human Parsing in the Wild – 2017 [Paper]
- Look into Person: Self-supervised Structure-sensitive Learning and A New Benchmark for Human Parsing-2017 [Project] [Code-Caffe] [Paper]
- Efficient and Robust Deep Networks for Semantic Segmentation – 2017 [Paper] [Project] [Code-Caffe]
- Deep Learning for Human Part Discovery in Images-2016 [Code-Chainer] [Paper]
- A CNN Cascade for Landmark Guided Semantic Part Segmentation-2016 [Project] [Paper]
- Deep Learning for Semantic Part Segmentation With High-level Guidance-2015 [Paper]
- Neural Activation Constellations-Unsupervised Part Model Discovery with Convolutional Networks-2015 [Paper]
- Human Parsing with Contextualized Convolutional Neural Network-2015 [Paper]
- Part detector discovery in deep convolutional neural networks-2014 [Code] [Paper]
Clothes Parsing
- Looking at Outfit to Parse Clothing-2017 [Paper]
- Semantic Object Parsing with Local-Global Long Short-Term Memory-2015 [Paper]
- A High Performance CRF Model for Clothes Parsing-2014 [Project] [Code] [Dataset] [Paper]
- Clothing co-parsing by joint image segmentation and labeling-2013 [Project] [Dataset] [Paper]
- Parsing clothing in fashion photographs-2012 [Project] [Paper]
Instance Segmentation
- A Pyramid CNN for Dense-Leaves Segmentation – 2018 [Paper]
- Predicting Future Instance Segmentations by Forecasting Convolutional Features – 2018 [Paper]
- Path Aggregation Network for Instance Segmentation – CVPR2018 [Paper] [Code-PyTorch]
- PixelLink: Detecting Scene Text via Instance Segmentation – AAAI2018 [Code-Tensorflow] [Paper]
- MaskLab: Instance Segmentation by Refining Object Detection with Semantic and Direction Features – 2017 – google [Paper]
- Recurrent Neural Networks for Semantic Instance Segmentation-2017 [Paper]
- Pixelwise Instance Segmentation with a Dynamically Instantiated Network-2017 [Paper]
- Semantic Instance Segmentation via Deep Metric Learning-2017 [Paper]
- Mask R-CNN-2017 [Code-Tensorflow] [Paper] [Code-Caffe2] [Code-Karas] [Code-PyTorch] [Code-MXNet]
- Pose2Instance: Harnessing Keypoints for Person Instance Segmentation-2017 [Paper]
- Pixelwise Instance Segmentation with a Dynamically Instantiated Network-2017 [Paper]
- Semantic Instance Segmentation with a Discriminative Loss Function-2017 [Paper]
- Fully Convolutional Instance-aware Semantic Segmentation-2016 [Code] [Paper]
- End-to-End Instance Segmentation with Recurrent Attention [Paper] [Code-Tensorflow]
- Instance-aware Semantic Segmentation via Multi-task Network Cascades-2015 [Code] [Paper]
- Recurrent Instance Segmentation-2015 [Project] [Code-Torch7] [Paper] [Poster] [Video]
Segment Object Candidates
- FastMask: Segment Object Multi-scale Candidates in One Shot-2016 [Code-Caffe] [Paper]
- Learning to Refine Object Segments-2016 [Code-Torch] [Paper]
- Learning to Segment Object Candidates-2015 [Code-Torch] [Code-Theano-Keras] [Paper]
Foreground Object Segmentation
- Pixel Objectness-2017 [Project] [Code-Caffe] [Paper]
- A Deep Convolutional Neural Network for Background Subtraction-2017 [Paper]