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We present a recurrent model for semantic instance segmentation that sequentially generates binary masks and their associated class probabilities for every object in an image.
Effort during visual search and counting: Insights from pupillometry
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Curriculum learning
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The PASCAL Visual Object Classes Challenge
Everingham, M., Van Gool, L., Williams, C.K.I., Winn, J., Zisserman, A.: · 2010
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Semantic contours from inverse detectors
Hariharan, B., Arbeláez, P., Bourdev, L., Maji, S., Malik, J.: · 2011
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Imagenet classification with deep convolutional neural networks
Krizhevsky, A., Sutskever, I., Hinton, G.E.: · 2012
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Diagnosing error in object detectors
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Simultaneous detection and segmentation
Hariharan, B., Arbeláez, P., Girshick, R., Malik, J.: · 2014
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Sequence to sequence learning with neural networks
Sutskever, I., Vinyals, O., Le, Q.V.: · 2014
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Towards end-to-end speech recognition with recurrent neural networks
Graves, A., Jaitly, N.: · 2014
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Neural machine translation by jointly learning to align and translate
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Hypercolumns for object segmentation and fine-grained localization
Hariharan, B., Arbeláez, P., Girshick, R., Malik, J.: · 2015
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Faster r-cnn: Towards real-time object detection with region proposal networks
Ren, S., He, K., Girshick, R., Sun, J.: · 2015
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Show and tell: A neural image caption generator
Vinyals, O., Toshev, A., Bengio, S., Erhan, D.: · 2015
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Multi-instance object segmentation with occlusion handling
Chen, Y.T., Liu, X., Yang, M.H.: · 2015
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Convolutional LSTM network: A machine learning approach for precipitation
Xingjian, S., Chen, Z., Wang, H., Yeung, D.Y., Wong, W.K., Woo, W.c.: · 2015
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Fully convolutional networks for semantic segmentation
Long, J., Shelhamer, E., Darrell, T.: · 2015
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Vinyals, O., Fortunato, M., Jaitly, N.: · 2015
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U-net: Convolutional networks for biomedical image segmentation
Ronneberger, O., Fischer, P., Brox, T.: · 2015
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ImageNet Large Scale Visual Recognition Challenge
Russakovsky, O., Deng, J., Su, H., Krause, J., Satheesh, S., Ma, S., Huang, Z., Karpathy, A., Khosla, A., Bernstein, M., Berg, A.C., Fei-Fei, L.: · 2015
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Proposal-free network for instance-level object segmentation
Deep residual learning for image recognition
He, K., Zhang, X., Ren, S., Sun, J.: · 2016
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Multi-scale patch aggregation (mpa) for simultaneous detection and segmentation
Liu, S., Qi, X., Shi, J., Zhang, H., Jia, J.: · 2016
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Finely-grained annotated datasets for image-based plant phenotyping
Minervini, M., Fischbach, A., Scharr, H., Tsaftaris, S.A.: · 2016
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The cityscapes dataset for semantic urban scene understanding
Cordts, M., Omran, M., Ramos, S., Rehfeld, T., Enzweiler, M., Benenson, R., Franke, U., Roth, S., Schiele, B.: · 2016
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Bottom-up instance segmentation using deep higher-order crfs
Arnab, A., Torr, P.H.: · 2016
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Optimizing Recurrent Neural Networks in cuDNN 5
Appleyard, J.: · 2016
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Liang, X., Wei, Y., Shen, X., Yang, J., Lin, L., Yan, S.: · 2015
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Reversible recursive instance-level object segmentation
Liang, X., Wei, Y., Shen, X., Jie, Z., Feng, J., Lin, L., Yan, S.: · 2016
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Instance-aware semantic segmentation via multi-task network cascades
Dai, J., He, K., Sun, J.: · 2016
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End to end learning for self-driving cars
Bojarski, M., Del Testa, D., Dworakowski, D., Firner, B., Flepp, B., Goyal, P., Jackel, L.D., Monfort, M., Muller, U., Zhang, J., et al.: · 2016
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Persistence in eye movement during visual search
Amor, T.A., Reis, S.D., Campos, D., Herrmann, H.J., Andrade Jr, J.S.: · 2016
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End-to-end people detection in crowded scenes
Stewart, R., Andriluka, M., Ng, A.Y.: · 2016
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Recurrent instance segmentation
Romera-Paredes, B., Torr, P.H.S.: · 2016
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Learning the number of neurons in deep networks
Alvarez, J.M., Salzmann, M.: · 2016
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Fully convolutional instance-aware semantic segmentation
Li, Y., Qi, H., Dai, J., Ji, X., Wei, Y.: · 2017
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Mask r-cnn
He, K., Gkioxari, G., Dollár, P., Girshick, R.: · 2017
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End-to-end instance segmentation with recurrent attention
Ren, M., Zemel, R.S.: · 2017
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Pixelwise instance segmentation with a dynamically instantiated network
Arnab, A., Torr, P.H.: · 2017
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Deep watershed transform for instance segmentation
Bai, M., Urtasun, R.: · 2017
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Semantic instance segmentation with a discriminative loss function
De Brabandere, B., Neven, D., Van Gool, L.: · 2017
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Capacity and trainability in recurrent neural networks
Collins, J., Sohl-Dickstein, J., Sussillo, D.: · 2017
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