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Object detection, instance segmentation, and pose estimation are popular visual recognition tasks which require localizing the object by internal or boundary landmarks.
Snakes: Active contour models
M. Kass, A. Witkin, and D. Terzopoulos · 1988
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On active contour models and balloons
L. D. Cohen · 1991
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Active shape models-their training and application
T. F. Cootes, C. J. Taylor, D. H. Cooper, and J. Graham · 1995
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A robust snake implementation; a dual active contour
S. R. Gunn and M. S. Nixon · 1997
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Imagenet: A large-scale hierarchical image database
J. Deng, W. Dong, R. Socher, L.-J. Li, K. Li, and L. Fei-Fei · 2009
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The pascal visual object classes (voc) challenge
M. Everingham, L. Van Gool, C. K. Williams, J. Winn, and A. Zisserman · 2010
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2d human pose estimation: New benchmark and state of the art analysis
M. Andriluka, L. Pishchulin, P. Gehler, and B. Schiele · 2014
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Rich feature hierarchies for accurate object detection and semantic segmentation
R. Girshick, J. Donahue, T. Darrell, and J. Malik · 2014
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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
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Deeppose: Human pose estimation via deep neural networks
A. Toshev and C. Szegedy · 2014
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Fast r-cnn
R. Girshick · 2015
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Deep learning
Y. LeCun, Y. Bengio, and G. Hinton · 2015
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Faster r-cnn: Towards real-time object detection with region proposal networks
S. Ren, K. He, R. Girshick, and J. Sun · 2015
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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
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R-fcn: Object detection via region-based fully convolutional networks
J. Dai, Y. Li, K. He, and J. Sun · 2016
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Deep residual learning for image recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2016
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Deepercut: A deeper, stronger, and faster multi-person pose estimation model
E. Insafutdinov, L. Pishchulin, B. Andres, M. Andriluka, and B. Schiele · 2016
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Ssd: Single shot multibox detector
W. Liu, D. Anguelov, D. Erhan, C. Szegedy, S. Reed, C.-Y. Fu, and A. C. Berg · 2016
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Stacked hourglass networks for human pose estimation
A. Newell, K. Yang, and J. Deng · 2016
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You only look once: Unified, real-time object detection
J. Redmon, S. Divvala, R. Girshick, and A. Farhadi · 2016
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Convolutional pose machines
S.-E. Wei, V. Ramakrishna, T. Kanade, and Y. Sheikh · 2016
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Unitbox: An advanced object detection network
J. Yu, Y. Jiang, Z. Wang, Z. Cao, and T. Huang · 2016
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Deformable convolutional networks
J. Dai, H. Qi, Y. Xiong, Y. Li, G. Zhang, H. Hu, and Y. Wei · 2017
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Mask r-cnn
K. He, G. Gkioxari, P. Dollár, and R. Girshick · 2017
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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.
Associative embedding: End-to-end learning for joint detection and grouping
A. Newell, Z. Huang, and J. Deng · 2017
Cited alongside, same era.
Extreme clicking for efficient object annotation
D. P. Papadopoulos, J. R. Uijlings, F. Keller, and V. Ferrari · 2017
Cited alongside, same era.
Yolo9000: better, faster, stronger
J. Redmon and A. Farhadi · 2017
Cited alongside, same era.
Denet: Scalable real-time object detection with directed sparse sampling
L. Tychsen-Smith and L. Petersson · 2017
Cited alongside, same era.
Freeanchor: Learning to match anchors for visual object detection
X. Zhang, F. Wan, C. Liu, R. Ji, and Q. Ye · 2019
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X. Zhou, D. Wang, and P. Krähenbühl · 2019
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Bottom-up object detection by grouping extreme and center points
X. Zhou, J. Zhuo, and P. Krahenbuhl · 2019
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Soft anchor-point object detection
C. Zhu, F. Chen, Z. Shen, and M. Savvides · 2019
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Feature selective anchor-free module for single-shot object detection
C. Zhu, Y. He, and M. Savvides · 2019
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Aggregated residual transformations for deep neural networks
S. Xie, R. Girshick, P. Dollár, Z. Tu, and K. He · 2017
Cited alongside, same era.
Cascade r-cnn: Delving into high quality object detection
Z. Cai and N. Vasconcelos · 2018
Cited alongside, same era.
Cornernet: Detecting objects as paired keypoints
H. Law and J. Deng · 2018
Cited alongside, same era.
Personlab: Person pose estimation and instance segmentation with a bottom-up, part-based, geometric embedding model
G. Papandreou, T. Zhu, L.-C. Chen, S. Gidaris, J. Tompson, and K. Murphy · 2018
Cited alongside, same era.
Deep layer aggregation
F. Yu, D. Wang, E. Shelhamer, and T. Darrell · 2018
Cited alongside, same era.
Yolact: Real-time instance segmentation
D. Bolya, C. Zhou, F. Xiao, and Y. J. Lee · 2019
Cited alongside, same era.
X. Zhu, H. Hu, S. Lin, and J. Dai · 2019
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Learning delicate local representations for multi-person pose estimation
Y. Cai, Z. Wang, Z. Luo, B. Yin, A. Du, H. Wang, X. Zhang, X. Zhou, E. Zhou, and J. Sun · 2020
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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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Reppoints v2: Verification meets regression for object detection
Y. Chen, Z. Zhang, Y. Cao, L. Wang, S. Lin, and H. Hu · 2020
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Higherhrnet: Scale-aware representation learning for bottom-up human pose estimation
B. Cheng, B. Xiao, J. Wang, H. Shi, T. S. Huang, and L. Zhang · 2020
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Corner proposal network for anchor-free, two-stage object detection
K. Duan, L. Xie, H. Qi, S. Bai, Q. Huang, and Q. Tian · 2020
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Probabilistic anchor assignment with iou prediction for object detection
K. Kim and H. S. Lee · 2020
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Foveabox: Beyound anchor-based object detection
T. Kong, F. Sun, H. Liu, Y. Jiang, L. Li, and J. Shi · 2020
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Improving convolutional networks with self-calibrated convolutions
J.-J. Liu, Q. Hou, M.-M. Cheng, C. Wang, and J. Feng · 2020
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Deep snake for real-time instance segmentation
S. Peng, W. Jiang, H. Pi, X. Li, H. Bao, and X. Zhou · 2020
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Detectors: Detecting objects with recursive feature pyramid and switchable atrous convolution
S. Qiao, L.-C. Chen, and A. Yuille · 2020
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Borderdet: Border feature for dense object detection
H. Qiu, Y. Ma, Z. Li, S. Liu, and J. Sun · 2020
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Fcos: A simple and strong anchor-free object detector
Z. Tian, C. Shen, H. Chen, and T. He · 2020
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Scaled-yolov4: Scaling cross stage partial network
C.-Y. Wang, A. Bochkovskiy, and H.-Y. M. Liao · 2020
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Deep high-resolution representation learning for visual recognition
J. Wang, K. Sun, T. Cheng, B. Jiang, C. Deng, Y. Zhao, D. Liu, Y. Mu, M. Tan, X. Wang, et al · 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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Bridging the gap between anchor-based and anchor-free detection via adaptive training sample selection
S. Zhang, C. Chi, Y. Yao, Z. Lei, and S. Z. Li · 2020
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Generalized focal loss v2: Learning reliable localization quality estimation for dense object detection
X. Li, W. Wang, X. Hu, J. Li, J. Tang, and J. Yang · 2021
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