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Contrast is subject to dramatic changes across the visual field, depending on the source of light and scene configurations.
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Imagenet classification with deep convolutional neural networks
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Saliency filters: Contrast based filtering for salient region detection
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Deep hierarchies in the primate visual cortex: What can we learn for computer vision?
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Analyzing the performance of multilayer neural networks for object recognition
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Adam: A method for stochastic optimization
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Very deep convolutional networks for large-scale image recognition
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Delving deep into rectifiers: Surpassing human-level performance on imagenet classification
K. He, X. Zhang, S. Ren, and J. Sun · 2015
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Deep learning
Network dissection: Quantifying interpretability of deep visual representations
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Xception: Deep learning with depthwise separable convolutions
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Y. LeCun, Y. Bengio, and G. Hinton · 2015
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Understanding deep image representations by inverting them
A. Mahendran and A. Vedaldi · 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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Deep residual learning for image recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2016
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Squeezenet: Alexnet-level accuracy with 50x fewer parameters and¡ 0.5 mb model size
F. N. Iandola, S. Han, M. W. Moskewicz, K. Ashraf, W. J. Dally, and K. Keutzer · 2016
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Xnor-net: Imagenet classification using binary convolutional neural networks
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Ubernet: Training a universal convolutional neural network for low-, mid-, and high-level vision using diverse datasets and limited memory
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Inception-v4, inception-resnet and the impact of residual connections on learning
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Learning transferable architectures for scalable image recognition
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How is contrast encoded in deep neural networks?
A. Akbarinia and K. R. Gegenfurtner · 2018
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Colour constancy beyond the classical receptive field
A. Akbarinia and C. A. Parraga · 2018
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Do semantic parts emerge in convolutional neural networks?
A. Gonzalez-Garcia, D. Modolo, and V. Ferrari · 2018
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Mobilenetv2: Inverted residuals and linear bottlenecks
M. Sandler, A. Howard, M. Zhu, A. Zhmoginov, and L.-C. Chen · 2018
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Deeptest: Automated testing of deep-neural-network-driven autonomous cars
Y. Tian, K. Pei, S. Jana, and B. Ray · 2018
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