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Representing features at multiple scales is of great importance for numerous vision tasks.
Shape matching and object recognition using shape contexts
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D. G. Lowe · 2004
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A. Krizhevsky and G. Hinton · 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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Semantic contours from inverse detectors
B. Hariharan, P. Arbeláez, L. Bourdev, S. Maji, and J. Malik · 2011
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Learning to detect a salient object
T. Liu, Z. Yuan, J. Sun, J. Wang, N. Zheng, X. Tang, and H.-Y. Shum · 2011
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Imagenet classification with deep convolutional neural networks
A. Krizhevsky, I. Sutskever, and G. E. Hinton · 2012
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Network in network
M. Lin, Q. Chen, and S. Yan · 2013
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Hierarchical saliency detection
Q. Yan, L. Xu, J. Shi, and J. Jia · 2013
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Saliency detection via graph-based manifold ranking
C. Yang, L. Zhang, H. Lu, X. Ruan, and M.-H. Yang · 2013
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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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The secrets of salient object segmentation
Y. Li, X. Hou, C. Koch, J. M. Rehg, and A. L. Yuille · 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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Two-stream convolutional networks for action recognition in videos
K. Simonyan and A. Zisserman · 2014
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Very deep convolutional networks for large-scale image recognition
K. Simonyan and A. Zisserman · 2014
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Salient object detection: A benchmark
A. Borji, M.-M. Cheng, H. Jiang, and J. Li · 2015
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Global contrast based salient region detection
M.-M. Cheng, N. J. Mitra, X. Huang, P. H. Torr, and S.-M. Hu · 2015
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The pascal visual object classes challenge: A retrospective
M. Everingham, S. A. Eslami, L. Van Gool, C. K. Williams, J. Winn, and A. Zisserman · 2015
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Learning both weights and connections for efficient neural network
S. Han, J. Pool, J. Tran, and W. Dally · 2015
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Spatial pyramid pooling in deep convolutional networks for visual recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2015
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Visual saliency based on multiscale deep features
G. Li and Y. Yu · 2015
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Fully convolutional networks for semantic segmentation
J. Long, E. Shelhamer, and T. Darrell · 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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Imagenet large scale visual recognition challenge
O. Russakovsky, J. Deng, H. Su, J. Krause, S. Satheesh, S. Ma, Z. Huang, A. Karpathy, A. Khosla, M. Bernstein, et al · 2015
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Going deeper with convolutions
C. Szegedy, W. Liu, Y. Jia, P. Sermanet, S. Reed, D. Anguelov, D. Erhan, V. Vanhoucke, and A. Rabinovich · 2015
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Holistically-nested edge detection
S. Xie and Z. Tu · 2015
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Saliency detection by multi-context deep learning
R. Zhao, W. Ouyang, H. Li, and X. Wang · 2015
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Deep residual learning for image recognition
K. He, X. Zhang, S. Ren, and J. Sun · 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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Rethinking the inception architecture for computer vision
C. Szegedy, V. Vanhoucke, S. Ioffe, J. Shlens, and Z. Wojna · 2016
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Wide residual networks
S. Zagoruyko and N. Komodakis · 2016
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How far are we from solving the 2d & 3d face alignment problem?(and a dataset of 230,000 3d facial landmarks)
A. Bulat and G. Tzimiropoulos · 2017
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Rethinking atrous convolution for semantic image segmentation
L.-C. Chen, G. Papandreou, F. Schroff, and H. Adam · 2017
Hi-Fi: Hierarchical feature integration for skeleton detection
K. Zhao, W. Shen, S. Gao, D. Li, and M.-M. Cheng · 2018
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Salient object detection: A survey
A. Borji, M.-M. Cheng, Q. Hou, H. Jiang, and J. Li · 2019
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Big-Little Net: An Efficient Multi-Scale Feature Representation for Visual and Speech Recognition
C.-F. R. Chen, Q. Fan, N. Mallinar, T. Sercu, and R. Feris · 2019
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Drop an octave: Reducing spatial redundancy in convolutional neural networks with octave convolution
Y. Chen, H. Fang, B. Xu, Z. Yan, Y. Kalantidis, M. Rohrbach, S. Yan, and J. Feng · 2019
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High frequency residual learning for multi-scale image classification
B. Cheng, R. Xiao, J. Wang, T. Huang, and L. Zhang · 2019
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Bing: Binarized normed gradients for objectness estimation at 300fps
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Dual path networks
Y. Chen, J. Li, H. Xiao, X. Jin, S. Yan, and J. Feng · 2017
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A survey of model compression and acceleration for deep neural networks
Y. Cheng, D. Wang, P. Zhou, and T. Zhang · 2017
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Xception: Deep learning with depthwise separable convolutions
F. Chollet · 2017
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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
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Feature pyramid networks for object detection
T.-Y. Lin, P. Dollár, R. B. Girshick, K. He, B. Hariharan, and S. J. Belongie · 2017
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M.-M. Cheng, Y. Liu, W.-Y. Lin, Z. Zhang, P. L. Rosin, and P. H. S. Torr · 2019
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Bag of tricks for image classification with convolutional neural networks
T. He, Z. Zhang, H. Zhang, Z. Zhang, J. Xie, and M. Li · 2019
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Deeply supervised salient object detection with short connections
Q. Hou, M.-M. Cheng, X. Hu, A. Borji, Z. Tu, and P. Torr · 2019
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A simple pooling-based design for real-time salient object detection
J.-J. Liu, Q. Hou, M.-M. Cheng, J. Feng, and J. Jiang · 2019
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Richer convolutional features for edge detection
Y. Liu, M.-M. Cheng, X. Hu, J.-W. Bian, L. Zhang, X. Bai, and J. Tang · 2019
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Paddlepaddle: An open-source deep learning platform from industrial practice
Y. Ma, D. Yu, T. Wu, and H. Wang · 2019
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Multi-level context ultra-aggregation for stereo matching
G.-Y. Nie, M.-M. Cheng, Y. Liu, Z. Liang, D.-P. Fan, Y. Liu, and Y. Wang · 2019
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Deep high-resolution representation learning for human pose estimation
K. Sun, B. Xiao, D. Liu, and J. Wang · 2019
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High-resolution representations for labeling pixels and regions
K. Sun, Y. Zhao, B. Jiang, T. Cheng, B. Xiao, D. Liu, Y. Mu, X. Wang, W. Liu, and J. Wang · 2019
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Cutmix: Regularization strategy to train strong classifiers with localizable features
S. Yun, D. Han, S. J. Oh, S. Chun, J. Choe, and Y. Yoo · 2019
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Contrast prior and fluid pyramid integration for rgbd salient object detection
J. Zhao, Y. Cao, D.-P. Fan, X.-Y. Li, L. Zhang, and M.-M. Cheng · 2019
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Optimizing the F-measure for threshold-free salient object detection
K. Zhao, S. Gao, W. Wang, and M.-M. Cheng · 2019
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Pranet: Parallel reverse attention network for polyp segmentation
D.-P. Fan, G.-P. Ji, T. Zhou, G. Chen, H. Fu, J. Shen, and L. Shao · 2020
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Inf-net: Automatic covid-19 lung infection segmentation from ct images
D.-P. Fan, T. Zhou, G.-P. Ji, Y. Zhou, G. Chen, H. Fu, J. Shen, and L. Shao · 2020
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Highly efficient salient object detection with 100k parameters
S.-H. Gao, Y.-Q. Tan, M.-M. Cheng, C. Lu, Y. Chen, and S. Yan · 2020
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Generalized focal loss: Learning qualified and distributed bounding boxes for dense object detection
X. Li, W. Wang, L. Wu, S. Chen, X. Hu, J. Li, J. Tang, and J. Yang · 2020
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Tea: Temporal excitation and aggregation for action recognition
Y. Li, B. Ji, X. Shi, J. Zhang, B. Kang, and L. Wang · 2020
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Interactive image segmentation with first click attention
Z. Lin, Z. Zhang, L.-Z. Chen, M.-M. Cheng, and S.-P. Lu · 2020
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Vecroad: Point-based iterative graph exploration for road graphs extraction
Y.-Q. Tan, S. Gao, X.-Y. Li, M.-M. Cheng, and B. Ren · 2020
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Concealed object detection
D.-P. Fan, G.-P. Ji, M.-M. Cheng, and L. Shao · 2021
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Leveraging instance-, image- and dataset-level information for weakly supervised instance segmentation
Y. Liu, Y.-H. Wu, P. Wen, Y. Shi, Y. Qiu, and M.-M. Cheng · 2021
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Jcs: An explainable covid-19 diagnosis system by joint classification and segmentation
Y.-H. Wu, S.-H. Gao, J. Mei, J. Xu, D.-P. Fan, C.-W. Zhao, and M.-M. Cheng · 2021
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