Fetching the paper…
Reading the bibliography…
Current state-of-the-art convolutional architectures for object detection are manually designed.
Pyramid methods in image processinh
E. H. Adelson, C. H. Anderson, J. R. Bergen, P. J. Burt, and J. M. Ogden · 1984
Earlier work this paper cites.
Deeply-supervised nets
C.-Y. Lee, S. Xie, P. Gallagher, Z. Zhang, and Z. Tu · 2015
Earlier work this paper cites.
U-Net: Convolutional networks for biomedical image segmentation
O. Ronneberger, P. Fischer, and T. Brox · 2015
Earlier work this paper cites.
Deep residual learning for image recognition
C. Szegedy, W. Liu, Y. Jia, P. Sermanet, S. E. Reed, D. Anguelov, D. Erhan, V. Vanhoucke, and A. Rabinovich · 2015
Earlier work this paper cites.
Designing neural network architectures using reinforcement learning
B. Baker, O. Gupta, N. Naik, and R. Raskar · 2016
Earlier work this paper cites.
Laplacian pyramid reconstruction and refinement for semantic segmentation
G. Ghiasi and C. C. Fowlkes · 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.
SSD: single shot multibox detector
W. Liu, D. Anguelov, D. Erhan, C. Szegedy, S. Reed, C.-Y. Fu, and A. C. Berg · 2016
Earlier work this paper cites.
Stacked hourglass networks for human pose estimation
A. Newell, K. Yang, and J. Deng · 2016
Earlier work this paper cites.
Branchynet: Fast inference via early exiting from deep neural networks
S. Teerapittayanon, B. McDanel, and H. Kung · 2016
Earlier work this paper cites.
Adaptive neural networks for efficient inference
T. Bolukbasi, J. Wang, O. Dekel, and V. Saligrama · 2017
Earlier work this paper cites.
DSSD : Deconvolutional single shot detector
C. Fu, W. Liu, A. Ranga, A. Tyagi, and A. C. Berg · 2017
Earlier work this paper cites.
Mask R-CNN
K. He, G. Gkioxari, P. Dollár, and R. Girshick · 2017
Earlier work this paper cites.
Multi-scale dense networks for resource efficient image classification
G. Huang, D. Chen, T. Li, F. Wu, L. van der Maaten, and K. Q. Weinberger · 2017
Earlier work this paper cites.
Densely connected convolutional networks
G. Huang, Z. Liu, and K. Q. Weinberger · 2017
Earlier work this paper cites.
RON: reverse connection with objectness prior networks for object detection
T. Kong, F. Sun, A. Yao, H. Liu, M. Lu, and Y. Chen · 2017
Cited alongside, same era.
Feature pyramid networks for object detection
T.-Y. Lin, P. Dollár, R. B. Girshick, K. He, B. Hariharan, and S. J. 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.
Progressive neural architecture search
C. Liu, B. Zoph, J. Shlens, W. Hua, L.-J. Li, L. Fei-Fei, A. Yuille, J. Huang, and K. Murphy · 2017
Cited alongside, same era.
Gated feedback refinement network for dense image labeling
N. D. B. B. Md Amirul Islam, Mrigank Rochan and Y. Wang · 2017
Cited alongside, same era.
Proximal policy optimization algorithms
J. Schulman, F. Wolski, P. Dhariwal, A. Radford, and O. Klimov · 2017
Pyramid attention network for semantic segmentation
H. Li, P. Xiong, J. An, and L. Wang · 2018
Later among the works it cites.
Detnet: A backbone network for object detection
Z. Li, C. Peng, G. Yu, X. Zhang, Y. Deng, and J. Sun · 2018
Later among the works it cites.
Path aggregation network for instance segmentation
S. Liu, L. Qi, H. Qin, J. Shi, and J. Jia · 2018
Later among the works it cites.
Regularized evolution for image classifier architecture search
E. Real, A. Aggarwal, Y. Huang, and Q. V. Le · 2018
Later among the works it cites.
Yolov3: An incremental improvement
J. Redmon and A. Farhadi · 2018
Later among the works it cites.
Parallel feature pyramid network for object detection
J.-Y. S. M.-C. K. S.-J. K. Seung-Wook Kim, Hyong-Keun Kook · 2018
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
Neural architecture search with reinforcement learning
B. Zoph and Q. V. Le · 2017
Cited alongside, same era.
Searching for efficient multi-scale architectures for dense image prediction
L.-C. Chen, M. D. Collins, Y. Zhu, G. Papandreou, B. Zoph, F. Schroff, H. Adam, and J. Shlens · 2018
Cited alongside, same era.
Learning short-cut connections for object counting
R. J. L.-S. D. Oñoro-Rubio, M. Niepert · 2018
Cited alongside, same era.
Neural architecture search: A survey
T. Elsken, J. H. Metzen, and F. Hutter · 2018
Cited alongside, same era.
DropBlock: A regularization method for convolutional networks
G. Ghiasi, T. Lin, and Q. V. Le · 2018
Cited alongside, same era.
Detectron
R. Girshick, I. Radosavovic, G. Gkioxari, P. Dollár, and K. He · 2018
Cited alongside, same era.
Later among the works it cites.
Mnasnet: Platform-aware neural architecture search for mobile
M. Tan, B. Chen, R. Pang, V. Vasudevan, and Q. V. Le · 2018
Later among the works it cites.
StairNet: top-down semantic aggregation for accurate one shot detection
S. Woo, S. Hwang, and I. S. Kweon · 2018
Later among the works it cites.
San: Learning relationship between convolutional features for multi-scale object detection
D. K. Yonghyun Kim, Bong-Nam Kang · 2018
Later among the works it cites.
Deep layer aggregation
F. Yu, D. Wang, E. Shelhamer, and T. Darrell · 2018
Later among the works it cites.
Single-shot refinement neural network for object detection
S. Zhang, L. Wen, X. Bian, Z. Lei, and S. Z. Li · 2018
Later among the works it cites.
Scale-transferrable object detection
P. Zhou, B. Ni, C. Geng, J. Hu, and Y. Xu · 2018
Later among the works it cites.
Learning transferable architectures for scalable image recognition
B. Zoph, V. Vasudevan, J. Shlens, and Q. V. Le · 2018
Later among the works it cites.
MobileNetV2: inverted residuals and linear bottl
M. Sandler, A. Howard, M. Zhu, A. Zhmoginov, and L.-C. Chen · 2019
Closest in time.
M2det: A single-shot object detector based on multi-level feature pyramid network
Q. Zhao, T. Sheng, Y. Wang, Z. Tang, Y. Chen, L. Cai, and H. Ling · 2019
Closest in time.