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segmentation paper reading notes

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Paper-reading-notes

segmentation paper reading notes

Segmentation paper list reference:

  1. 语义分割 - Semantic Segmentation Papers
  2. arXiv Search result: Semantic Segmentation
  3. A collection of AWESOME things about domain adaptation
  4. https://zhangbin0917.github.io/2018/09/18/Semantic-Segmentation/#more
  5. AAAI 19 Accepted_Papers
  6. CVPR 2018 open access
  7. MICCAI 2018 accepted papers

Paper With Code:

  1. Real-Time Semantic Segmentation
  2. Semantic Segmentation

CATALOGS

  1. Summary of the semantic segmentation datasets
    1. PASCAL VOC 2012
    2. Semantic Boundaries Dataset (SBD)
    3. PASCAL VOC 2012 augmented with SBD
    4. The COCO-Stuff dataset
    5. PASCAL-Context Dataset
    6. Cityscapes Datasets
    7. PASCAL-$5^i$ (for shot learning)
    8. SYNTHIA
    9. GTA-5
    10. ADE20K
  2. Paper Reading Template
  3. Experiment Result Collecting
  4. 语义分割-知识点总结

Experiment Results

Experiment Results on Cityscapes testing set, collected by myself.

About the other datasets, please read this file: Experiment Result Collecting.xlsx

PROGRESS

Segmentation Paper Reading Notes

Details of the papers are collected in the notes. "My Rating" is my personal rating of these papers from 1-10, from bad to good.

Index Net Name Conference Papers Title Note Links Code My Rating
01 DeepLabV3+ ECCV 2018 Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation 01-DeepLabV3+.md Official Code 8
02 DANet CVPR 2019 Dual Attention Network for Scene Segmentation 02-DANet.md Official Code 7
03 A-MCG AAAI 2019 Attention-based Multi-Context Guiding for Few-Shot Semantic Segmentation 03-A-MCG network.md NO 5
04 SEANet AAAI 2019 Self-Ensembling Attention Networks: Addressing Domain Shift for Semantic Segmentation 04-SEANet.md Official Code 6
05 ExFuse ECCV 2018 ExFuse: Enhancing Feature Fusion for Semantic Segmentation 05-ExFuse.md NO 7
06 OCNet Not yet OCNet: Object Context Network for Scene Parsing 06-OCNet.md Official Code 4
07 CCNet Not yet CCNet: Criss-Cross Attention for Semantic Segmentation 07-CCNet.md Official Code 6
08 DFN CVPR18 Spotlight Learning a Discriminative Feature Network for Semantic Segmentation 08-DFN.md Inofficial Code 6
09 PSPNet CVPR 2017 Pyramid Scene Parsing Network 09-PSPNet.md Official Code 4
10 \ Artificial Intelligence Review 2018 Recent progress in semantic image segmentation 10-SegReview18.md NO 4
11 AAF ECCV 2018 Adaptive Affinity Fields for Semantic Segmentation 11-AAF.md Official Code 5
12 GCN CVPR 2017 Large Kernel Matters——Improve Semantic Segmentation by Global Convolutional Network 12-GCN.md Inofficial Code 7
13 DensASPP CVPR 2018 DenseASPP for Semantic Segmentation in Street Scenes 13-DenseASPP.md Official Code 7
14 Layer Cascade CVPR 2017 Not All Pixels Are Equal: Difficulty-Aware Semantic Segmentation via Deep Layer Cascade 14-Layer-Cascade.md Official Code 6.5
15 RefineNet CVPR 2017 RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation 15-RefineNet.md Official Code 7
16 OANet CVPR 2019 An End-to-End Network for Panoptic Segmentation 16-OANet.md NO 6
17 BiSeNet ECCV 2018 BiSeNet: Bilateral Segmentation Network for Real-time Semantic Segmentation 17-BiSeNet.md Official Code 3
18 DUpsampling CVPR 2019 Decoders Matter for Semantic Segmentation: Data-Dependent Decoding Enables Flexible Feature Aggregation 18-DUpsampling.md NO 4
19 DFANet CVPR 2019 DFANet: Deep Feature Aggregation for Real-Time Semantic Segmentation 19-DFANet.md NO 6
20 Knowledge Distillation CVPR 2019 Structured Knowledge Distillation for Semantic Segmentation NOTE NO \
22 GLNET CVPR 19 Oral Collaborative Global-Local Networks for Memory-Efficient Segmentation of Ultra-High Resolution Images NOTE Official Code 8
23 Accel CVPR 19 Oral Accel: A Corrective Fusion Network for Efficient Semantic Segmentation on Video NOTE Official Code 3

Medical Segmentation Paper Reading Notes

Details of the papers are collected in the notes. "My Rating" is my personal rating of these papers from 1-10, from bad to good.

Index Label Conference Papers Title Note Links Code My Rating
01 transforms for data augmentation CVPR 2019 Data augmentation using learned transforms for one-shot medical image segmentation 01-transforms-for-DA.md Official Code *

Other Related Papers Reading Notes

Index Net Name Conference Papers Title Note Links Code My Rating
01 CASENet CVPR 2017 CASENet: Deep Category-Aware Semantic Edge Detection 23-CASENet.md Official Code 2
02 SRFBN CVPR 2019 Feedback Network for Image Super-Resolution 02-SRFBN.md Official Code 7
03 DBPN CVPR 2018 Deep Back-Projection Networks For Super-Resolution 24-DBPN.md Official Code 7.5
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