Here we share the paper we discussed in weekly seminar
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Densely Connected Convolutional Networks
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DSOD: Learning Deeply Supervised Object Detectors from Scratch
- Deep Learning using Linear Support Vector Machines
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NO Need to Worry about Adversarial Examples in Object Detection in Autonomous Vehicles
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Adversarial Feature Learning
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PixelNet: Representation of the pixels, by the pixels, and for the pixels
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Matching Networks for One Shot Learning
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R-FCN: Object Detection via Region-based Fully Convolutional Networks
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Unambiguous Text Localization and Retrieval for Cluttered Scenes
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Deep Residual Learning for Image Recognition
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Fully Convolutional Networks for Semantic Segmentation