Awesome-Instance-Segmentation

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Awesome-Instance-Segmentation

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Some papers about instance segmentation

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# Awesome Instance Segmentation

This repo collects some papers in the field of instance segmentation for natural scene images.

Please pull a request or raise an issue if I miss some papers or have errors .

**Total number**: 52

## News
- 2022/07/27: Collect related papers from paperwithcode and CVPR22 official openaccess repo.

## 2022 (Total: 13)
- [2022/07] Active Pointly-Supervised Instance Segmentation, **`ECCV'22`**, [Code](https://github.com/chufengt/APIS), [Paper](https://arxiv.org/pdf/2207.11493.pdf), Point, CNN
- [2022/07] Box-supervised Instance Segmentation with Level Set Evolution, **`ECCV'22`**, [Code](https://github.com/liwentomng/boxlevelset), [Paper](https://arxiv.org/pdf/2207.09055.pdf), Box, CNN
- [2022/06] Instance Segmentation With Mask-Supervised Polygonal Boundary Transformers, **`CVPR'22`** [Code](https://github.com/mlpc-ucsd/BoundaryFormer), [Paper](https://openaccess.thecvf.com/content/CVPR2022/papers/Lazarow_Instance_Segmentation_With_Mask-Supervised_Polygonal_Boundary_Transformers_CVPR_2022_paper.pdf), Full, Transformer
- [2022/06] Mask DINO: Towards A Unified Transformer-based Framework for Object Detection and Segmentation, [Code](https://github.com/IDEACVR/MaskDINO), [Paper](https://arxiv.org/pdf/2206.02777.pdf), Full, Transformer
- [2022/06] iFS-RCNN: An Incremental Few-Shot Instance Segmenter, **`CVPR'22`**, [Code](https://github.com/ducminhkhoi/iFS-RCNN), [Paper](https://openaccess.thecvf.com/content/CVPR2022/papers/Nguyen_iFS-RCNN_An_Incremental_Few-Shot_Instance_Segmenter_CVPR_2022_paper.pdf), Few-shot, CNN
- [2022/05] Vision Transformer Adapter for Dense Predictions, [Code](https://github.com/czczup/vit-adapter), [Paper](https://arxiv.org/pdf/2205.08534.pdf), Full, Transformer
- [2022/04] Open-World Instance Segmentation: Exploiting Pseudo Ground Truth From Learned Pairwise Affinity, **`CVPR'22`**, [Code](https://github.com/facebookresearch/Generic-Grouping), [Paper](http://arxiv.org/abs/2204.06107), Open-world, CNN
- [2022/03] E2EC: An End-to-End Contour-based Method for High-Quality High-Speed Instance Segmentation, **`CVPR'22`**, [Code](https://github.com/zhang-tao-whu/e2ec), [Paper](https://arxiv.org/pdf/2203.04074.pdf), Full, Real-time, CNN
- [2022/03] Sparse Instance Activation for Real-Time Instance Segmentation, **`CVPR'22`**, [Code](ihttps://github.com/hustvl/SparseInst), [Paper](https://arxiv.org/abs/2203.12827), Full, Real-time, CNN
- [2022/03] Noisy Boundaries: Lemon or Lemonade for Semi-Supervised Instance Segmentation?, **`CVPR'22`**, [Code](https://github.com/zhenyuw16/noisyboundaries), [Paper](http://arxiv.org/abs/2203.13427), Semi, CNN
- [2022/03] SharpContour: A Contour-Based Boundary Refinement Approach for Efficient and Accurate Instance Segmentation, **`CVPR'22`**, Code, [Paper](http://arxiv.org/abs/2203.13312), Full, Real-time, CNN
- [2022/03] ContrastMask: Contrastive Learning To Segment Every Thing, **`CVPR'22`**, [Code](https://github.com/huiserwang/ContrastMask), [Paper](http://arxiv.org/abs/2203.09775), Partial, CNN
- [2022/01] Relieving Long-Tailed Instance Segmentation via Pairwise Class Balance, **`CVPR'22`**, [Code](https://github.com/megvii-research/PCB), [Paper](http://arxiv.org/abs/2201.02784), Full, Long-tail, CNN

## 2021 (Total: 10)
- [2021/12] Masked-attention Mask Transformer for Universal Image Segmentation, **`CVPR'22`**, [Code](https://github.com/facebookresearch/Mask2Former), [Paper](https://arxiv.org/pdf/2112.01527.pdf), Full, Transformer
- [2011/11] Open-Vocabulary Instance Segmentation via Robust Cross-Modal Pseudo-Labeling, **`CVPR'22`**, [Code](https://github.com/hbdat/cvpr22_cross_modal_pseudo_labeling), [Paper](http://arxiv.org/abs/2111.12698), Open-world, CNN
- [2021/11] Mask Transfiner for High-Quality Instance Segmentation, **`CVPR'22`**, [Code](https://github.com/SysCV/transfiner), [Paper](https://arxiv.org/abs/2111.13673), Full, CNN+Transformer
- [2021/09] Beyond Semantic to Instance Segmentation: Weakly-Supervised Instance Segmentation via Semantic Knowledge Transfer and Self-Refinement, **`CVPR'22`**, [Code](https://github.com/clovaai/BESTIE), [Paper](http://arxiv.org/abs/2109.09477), Weakly, CNN
- [2021/06] SOLQ: Segmenting Objects by Learning Queries, **`NeurIPS'21`**, [Code](https://github.com/megvii-research/SOLQ), [Paper](https://arxiv.org/pdf/2106.02351.pdf), Full, Transformer
- [2021/06] K-Net: Towards Unified Image Segmentation, **`NeurIPS'21`**, [Code](https://github.com/zwwwayne/k-net), [Paper](https://arxiv.org/pdf/2106.14855.pdf), Full, Transformer
- [2021/05] Instances as Queries, **`ICCV'21`**, [Code](https://github.com/hustvl/QueryInst), [Paper](https://arxiv.org/pdf/2105.01928.pdf), Full, CNN
- [2021/05] ISTR: End-to-End Instance Segmentation with Transformers, [Code](https://github.com/hujiecpp/ISTR), [Paper](https://arxiv.org/pdf/2105.00637v2.pdf), Full, Transformer
- [2021/04] Pointly-Supervised Instance Segmentation, **`CVPR'22`**, [Code](https://github.com/facebookresearch/detectron2/tree/main/projects/PointSup), [Paper](http://arxiv.org/abs/2104.06404), Point, CNN
- [2021/03] Deep Occlusion-Aware Instance Segmentation with Overlapping BiLayers, **`CVPR'21`**, [Code](https://github.com/lkeab/BCNet), [Paper](https://arxiv.org/pdf/2103.12340.pdf), Full, CNN

## 2020 (Total: 13)
- [2020/12] SCNet: Training Inference Sample Consistency for Instance Segmentation, [Code](https://github.com/thangvubk/SCNet), [Paper](https://arxiv.org/pdf/2012.10150.pdf), FUll, CNN
- [2020/12] BoxInst: High-Performance Instance Segmentation with Box Annotations, **`CVPR'21`**, [Code](https://github.com/aim-uofa/AdelaiDet), [Paper](https://arxiv.org/abs/2012.02310), Box, CNN
- [2020/12] Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation, **`CVPR'21`**, [Code](https://github.com/tensorflow/tpu/tree/master/models/official/detection/projects/copy_paste), [Paper](https://arxiv.org/pdf/2012.07177.pdf), Full, Data aug, CNN
- [2020/12] Global Context Networks, **`TPAMI'20`**, [Code](https://github.com/xvjiarui/GCNet), [Paper](https://arxiv.org/pdf/2012.13375.pdf), Full, CNN
- [2020/11] Prior to Segment: Foreground Cues for Weakly Annotated Classes in Partially Supervised Instance Segmentation, **`ICCV'21`**, [Code](https://github.com/dbtmpl/OPMask), [Paper](https://arxiv.org/abs/2011.11787), Partial, CNN
- [2020/11] DCT-Mask: Discrete Cosine Transform Mask Representation for Instance Segmentation, **`CVPR'21`**, [Code](https://github.com/aliyun/DCT-Mask), [Paper](https://arxiv.org/abs/2011.09876), Full, CNN
- [2020/07] SipMask: Spatial Information Preservation for Fast Image and Video Instance Segmentation, **`ECCV'20`**, [Code](https://github.com/JialeCao001/SipMask), [Paper](https://arxiv.org/pdf/2007.14772.pdf), Full, CNN
- [2020/07] Commonality-Parsing Network across Shape and Appearance for Partially Supervised Instance Segmentation, **`ECCV'20`**, [Code](https://github.com/fanq15/FewX), [Paper](https://arxiv.org/pdf/2007.12387.pdf), Partially, CNN
- [2020/06] D2Det: Towards High Quality Object Detection and Instance Segmentation, **`CVPR'20`**, [Code](https://github.com/JialeCao001/D2Det), [Paper](http://openaccess.thecvf.com/content_CVPR_2020/papers/Cao_D2Det_Towards_High_Quality_Object_Detection_and_Instance_Segmentation_CVPR_2020_paper.pdf), Full, CNN
- [2020/03] SOLOv2: Dynamic and Fast Instance Segmentation, **`NeurIPS'20`**, [Code](https://github.com/WXinlong/SOLO), [Paper](https://arxiv.org/pdf/2003.10152.pdf), Full, CNN
- [2020/03] Mask Encoding for Single Shot Instance Segmentation, **`CVPR'20`**, [Code](https://github.com/aim-uofa/AdelaiDet), [Paper](https://arxiv.org/abs/2003.11712), Full, CNN
- [2020/03] Conditional Convolutions for Instance Segmentation, **`ECCV'20`**, [Code](https://github.com/aim-uofa/AdelaiDet), [Paper](https://arxiv.org/abs/2003.05664), Full, CNN
- [2020/01] BlendMask: Top-Down Meets Bottom-Up for Instance Segmentation, **`CVPR'20`**, [Code](https://github.com/aim-uofa/AdelaiDet), [Paper](https://arxiv.org/pdf/2001.00309.pdf), Full, CNN

## 2019 (Total: 12)
- [2019/12] PointRend: Image Segmentation as Rendering, **CVPR'20**, [Code](https://github.com/facebookresearch/detectron2/tree/master/projects/PointRend), [Paper](https://openaccess.thecvf.com/content_CVPR_2020/papers/Kirillov_PointRend_Image_Segmentation_As_Rendering_CVPR_2020_paper.pdf), Full, CNN
- [2019/12] SOLO: Segmenting Objects by Locations, **`ECCV'20`**, [Code](https://github.com/WXinlong/SOLO), [Paper](https://arxiv.org/pdf/1912.04488v3.pdf), Full, CNN
- [2019/12] EmbedMask: Embedding Coupling for One-stage Instance Segmentation, **`IJCAI'21`**, [Code](https://github.com/yinghdb/EmbedMask), [Paper](https://arxiv.org/pdf/1912.01954.pdf), Full, CNN
- [2019/12] RDSNet: A New Deep Architecture for Reciprocal Object Detection and Instance Segmentation, **`AAAI'20`**, [Code](https://github.com/wangsr126/RDSNet), [Paper](https://arxiv.org/pdf/1912.05070.pdf), Full, CNN
- [2019/11] CenterMask : Real-Time Anchor-Free Instance Segmentation, **`CVPR'20`**, [Code](https://github.com/youngwanLEE/CenterMask), [Paper](https://arxiv.org/pdf/1911.06667.pdf), Full, Real-time, CNN
- [2019/09] PolarMask: Single Shot Instance Segmentation with Polar Representation, **`CVPR'20`**, [Code](https://github.com/xieenze/PolarMask), [Paper](https://arxiv.org/pdf/1909.13226.pdf), Full, CNN 
- [2019/08] InstaBoost: Boosting Instance Segmentation via Probability Map Guided Copy-Pasting, **`ICCV'19`**, [Code](https://github.com/GothicAi/InstaBoost), [Paper](https://arxiv.org/pdf/1908.07801v1.pdf), Full, Data aug, CNN
- [2019/04] YOLACT: Real-time Instance Segmentation, **`ICCV'19`**, [Code](https://github.com/dbolya/yolact), [Paper](https://arxiv.org/pdf/1904.02689.pdf), Full, Real-time, CNN
- [2019/04] GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond, **`ICCVW'19`**, [Code](https://github.com/xvjiarui/GCNet), [Paper](https://arxiv.org/pdf/1904.11492.pdf), Full, CNN
- [2019/03] TensorMask: A Foundation for Dense Object Segmentation, **`ICCV'19`**, [Code](https://github.com/facebookresearch/detectron2/tree/master/projects/TensorMask), [Paper](https://arxiv.org/pdf/1903.12174.pdf), Full, CNN
- [2019/03] Mask Scoring R-CNN, **`CVPR'19`**, [Code](https://github.com/zjhuang22/maskscoring_rcnn), [Paper](https://arxiv.org/pdf/1903.00241v1.pdf), Full, CNN
- [2019/01] Hybrid Task Cascade for Instance Segmentation, **`CVPR'19`**, [Code](https://github.com/open-mmlab/mmdetection), [Paper](https://arxiv.org/pdf/1901.07518.pdf), Full, CNN.

## 2018 (Total: 1)
- [2018/03] Path Aggregation Network for Instance Segmentation, **`CVPR'18`**, [Code](https://github.com/ShuLiu1993/PANet), [Paper](https://arxiv.org/pdf/1803.01534.pdf), Full, CNN

## 2017 (Total: 2)
- [2017/12] MaskLab: Instance Segmentation by Refining Object Detection with Semantic and Direction Features, **`CVPR'18`**, [Code](), [Paper](https://arxiv.org/pdf/1712.04837v1.pdf), Full, CNN
- [2017/03] Mask R-CNN, ICCV'17, [Code](https://github.com/facebookresearch/Detectron), [Paper](https://arxiv.org/abs/1703.06870), Full, CNN

## 2016 (Total: 1)
- [2016/11] Fully Convolutional Instance-aware Semantic Segmentation, **`CVPR'17`**, [Code](https://github.com/msracver/FCIS), [Paper](https://arxiv.org/abs/1611.07709), Fully-supervised, CNN

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