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We introduce a new image segmentation task, called Entity Segmentation (ES), which aims to segment all visual entities (objects and stuffs) in an image without predicting their semantic labels.
Vision: a computational investigation into the human representation and processing of visual information
D. Marr · 1982
Earlier work this paper cites.
Poisson image editing
P. Pérez, M. Gangnet, and A. Blake · 2003
Earlier work this paper cites.
Colorization using optimization
A. Levin, D. Lischinski, and Y. Weiss · 2004
Earlier work this paper cites.
Image completion with structure propagation
J. Sun, L. Yuan, J. Jia, and H.-Y. Shum · 2005
Earlier work this paper cites.
Patchmatch: A randomized correspondence algorithm for structural image editing
C. Barnes, E. Shechtman, A. Finkelstein, and D. B. Goldman · 2009
Earlier work this paper cites.
What is an object?
B. Alexe, T. Deselaers, and V. Ferrari · 2010
Earlier work this paper cites.
Computer vision: algorithms and applications
R. Szeliski · 2010
Earlier work this paper cites.
Image melding: Combining inconsistent images using patch-based synthesis
S. Darabi, E. Shechtman, C. Barnes, D. B. Goldman, and P. Sen · 2012
Earlier work this paper cites.
Imagenet classification with deep convolutional neural networks
A. Krizhevsky, I. Sutskever, and G. E. Hinton · 2012
Earlier work this paper cites.
Salient object detection: A discriminative regional feature integration approach
H. Jiang, J. Wang, Z. Yuan, Y. Wu, N. Zheng, and S. Li · 2013
Earlier work this paper cites.
Rich feature hierarchies for accurate object detection and semantic segmentation
R. Girshick, J. Donahue, T. Darrell, and J. Malik · 2014
Earlier work this paper cites.
Microsoft coco: Common objects in context
T.-Y. Lin, M. Maire, S. Belongie, J. Hays, P. Perona, D. Ramanan, P. Dollár, and C. L. Zitnick · 2014
Earlier work this paper cites.
Human detection, tracking and segmentation in surveillance video
G. Shu · 2014
Earlier work this paper cites.
Towards open world recognition
A. Bendale and T. Boult · 2015
Earlier work this paper cites.
Salient object detection: A benchmark
A. Borji, M.-M. Cheng, H. Jiang, and J. Li · 2015
Earlier work this paper cites.
Fast edge detection using structured forests
P. Dollár and C. L. Zitnick · 2015
Earlier work this paper cites.
Fully convolutional networks for semantic segmentation
J. Long, E. Shelhamer, and T. Darrell · 2015
Earlier work this paper cites.
Learning to segment object candidates
P. O. Pinheiro, R. Collobert, and P. Dollár · 2015
Earlier work this paper cites.
Faster R-CNN: towards real-time object detection with region proposal networks
S. Ren, K. He, R. B. Girshick, and J. Sun · 2015
Earlier work this paper cites.
Very deep convolutional networks for large-scale image recognition
K. Simonyan and A. Zisserman · 2015
Earlier work this paper cites.
The cityscapes dataset for semantic urban scene understanding
M. Cordts, M. Omran, S. Ramos, T. Rehfeld, M. Enzweiler, R. Benenson, U. Franke, S. Roth, and B. Schiele · 2016
Earlier work this paper cites.
Instance-aware semantic segmentation via multi-task network cascades
J. Dai, K. He, and J. Sun · 2016
Earlier work this paper cites.
R-FCN: object detection via region-based fully convolutional networks
J. Dai, Y. Li, K. He, and J. Sun · 2016
Earlier work this paper cites.
Deep residual learning for image recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2016
Earlier work this paper cites.
Dynamic filter networks
X. Jia, B. De Brabandere, T. Tuytelaars, and L. Van Gool · 2016
Earlier work this paper cites.
Deep contrast learning for salient object detection
G. Li and Y. Yu · 2016
Earlier work this paper cites.
Fully convolutional neural networks for volumetric medical image segmentation
F. Milletari, N. Navab, S. Ahmadi, and V-net · 2016
Earlier work this paper cites.
Inception-v4, inception-resnet and the impact of residual connections on learning
C. Szegedy, S. Ioffe, V. Vanhoucke, and A. Alemi · 2016
Earlier work this paper cites.
Rethinking the inception architecture for computer vision
C. Szegedy, V. Vanhoucke, S. Ioffe, J. Shlens, and Z. Wojna · 2016
Earlier work this paper cites.
Rethinking atrous convolution for semantic image segmentation
L.-C. Chen, G. Papandreou, F. Schroff, and H. Adam · 2017
Earlier work this paper cites.
Deformable convolutional networks
J. Dai, H. Qi, Y. Xiong, Y. Li, G. Zhang, H. Hu, and Y. Wei · 2017
Earlier work this paper cites.
Mask r-cnn
K. He, G. Gkioxari, P. Dollár, and R. Girshick · 2017
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Densely connected convolutional networks
G. Huang, Z. Liu, L. Van Der Maaten, and K. Q. Weinberger · 2017
Cited alongside, same era.
Image-to-image translation with conditional adversarial networks
P. Isola, J.-Y. Zhu, T. Zhou, and A. A. Efros · 2017
Cited alongside, same era.
Fully convolutional instance-aware semantic segmentation
Y. Li, H. Qi, J. Dai, X. Ji, and Y. Wei · 2017
Cited alongside, same era.
Feature pyramid networks for object detection
T.-Y. Lin, P. Dollár, R. Girshick, K. He, B. Hariharan, and S. Belongie · 2017
Cited alongside, same era.
Focal loss for dense object detection
T.-Y. Lin, P. Goyal, R. Girshick, K. He, and P. Dollár · 2017
Cited alongside, same era.
Large-scale long-tailed recognition in an open world
Z. Liu, Z. Miao, X. Zhan, J. Wang, B. Gong, and S. X. Yu · 2019
Later among the works it cites.
Amodal instance segmentation with kins dataset
L. Qi, L. Jiang, S. Liu, X. Shen, and J. Jia · 2019
Later among the works it cites.
Basnet: Boundary-aware salient object detection
X. Qin, Z. Zhang, C. Huang, C. Gao, M. Dehghan, and M. Jagersand · 2019
Later among the works it cites.
Delving deep into hybrid annotations for 3d human recovery in the wild
Y. Rong, Z. Liu, C. Li, K. Cao, and C. C. Loy · 2019
Later among the works it cites.
Objects365: A large-scale, high-quality dataset for object detection
S. Shao, Z. Li, T. Zhang, C. Peng, G. Yu, X. Zhang, J. Li, and J. Sun · 2019
Later among the works it cites.
Fcos: Fully convolutional one-stage object detection
Z. Tian, C. Shen, H. Chen, and T. He · 2019
Later among the works it cites.
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T.-C. Wang, M.-Y. Liu, J.-Y. Zhu, A. Tao, J. Kautz, and B. Catanzaro · 2017
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Pyramid scene parsing network
H. Zhao, J. Shi, X. Qi, X. Wang, and J. Jia · 2017
Cited alongside, same era.
Places: A 10 million image database for scene recognition
B. Zhou, A. Lapedriza, A. Khosla, A. Oliva, and A. Torralba · 2017
Cited alongside, same era.
Scene parsing through ade20k dataset
B. Zhou, H. Zhao, X. Puig, S. Fidler, A. Barriuso, and A. Torralba · 2017
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Pose-robust face recognition via deep residual equivariant mapping
K. Cao, Y. Rong, C. Li, X. Tang, and C. C. Loy · 2018
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Encoder-decoder with atrous separable convolution for semantic image segmentation
L.-C. Chen, Y. Zhu, G. Papandreou, F. Schroff, and H. Adam · 2018
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Upsnet: A unified panoptic segmentation network
Y. Xiong, R. Liao, H. Zhao, R. Hu, M. Bai, E. Yumer, and R. Urtasun · 2019
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Free-form image inpainting with gated convolution
J. Yu, Z. Lin, J. Yang, X. Shen, X. Lu, and T. S. Huang · 2019
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Deformable convnets v2: More deformable, better results
X. Zhu, H. Hu, S. Lin, and J. Dai · 2019
Later among the works it cites.
End-to-end object detection with transformers
N. Carion, F. Massa, G. Synnaeve, N. Usunier, A. Kirillov, and S. Zagoruyko · 2020
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Bi-directional cross-modality feature propagation with separation-and-aggregation gate for rgb-d semantic segmentation
X. Chen, K.-Y. Lin, J. Wang, W. Wu, C. Qian, H. Li, and G. Zeng · 2020
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The overlooked elephant of object detection: Open set
A. R. Dhamija, M. Günther, J. Ventura, and T. E. Boult · 2020
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Frankmocap: Fast monocular 3d hand and body motion capture by regression and integration
Y. Rong, T. Shiratori, and H. Joo · 2020
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Conditional convolutions for instance segmentation
Z. Tian, C. Shen, and H. Chen · 2020
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A brief survey of visual saliency detection
I. Ullah, M. Jian, S. Hussain, J. Guo, H. Yu, X. Wang, and Y. Yin · 2020
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Solo: Segmenting objects by locations
X. Wang, T. Kong, C. Shen, Y. Jiang, and L. Li · 2020
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Solov2: Dynamic and fast instance segmentation
X. Wang, R. Zhang, T. Kong, L. Li, and C. Shen · 2020
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Polarmask: Single shot instance segmentation with polar representation
E. Xie, P. Sun, X. Song, W. Wang, X. Liu, D. Liang, C. Shen, and P. Luo · 2020
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Malleable 2.5 d convolution: Learning receptive fields along the depth-axis for rgb-d scene parsing
Y. Xing, J. Wang, and G. Zeng · 2020
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Context prior for scene segmentation
C. Yu, J. Wang, C. Gao, G. Yu, C. Shen, and N. Sang · 2020
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Per-pixel classification is not all you need for semantic segmentation
B. Cheng, A. G. Schwing, and A. Kirillov · 2021
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Class-agnostic object detection
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Towards open world object detection
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Fully convolutional networks for panoptic segmentation with point-based supervision
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Multi-scale aligned distillation for low-resolution detection
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