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Related: TFIDF
[1608.06993] Densely Connected Convolutional Networks[1606.02147] ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation[1810.01373] Multi-scale Convolution Aggregation and Stochastic Feature Reuse for DenseNets[1611.09326] The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation[1906.03808] A Closed-Form Learned Pooling for Deep Classification Networks[1707.03718] LinkNet: Exploiting Encoder Representations for Efficient Semantic Segmentation[1804.05340] SparseNet: A Sparse DenseNet for Image Classification[1701.06190] A New Convolutional Network-in-Network Structure and Its Applications in Skin Detection, Semantic Segmentation, and Artifact Reduction[1902.10460] Modulated binary cliquenet[1711.10103] Learning Channel Inter-dependencies at Multiple Scales on Dense Networks for Face Recognition
Mentions
[1707.07958] Residual Conv-Deconv Grid Network for Semantic Segmentation[1308.0850] Generating Sequences With Recurrent Neural Networks[1502.03167] Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift[1511.02680] Bayesian SegNet: Model Uncertainty in Deep Convolutional Encoder-Decoder Architectures for Scene Understanding[1412.6980] Adam: A Method for Stochastic Optimization[1605.07648] FractalNet: Ultra-Deep Neural Networks without Residuals[1312.4400] Network In Network[1809.06323] Efficient Dense Modules of Asymmetric Convolution for Real-Time Semantic Segmentation[1811.11431] ESPNetv2: A Light-weight, Power Efficient, and General Purpose Convolutional Neural Network[1412.6550] FitNets: Hints for Thin Deep Nets[1609.04747] An overview of gradient descent optimization algorithms[1409.1556] Very Deep Convolutional Networks for Large-Scale Image Recognition[1412.6806] Striving for Simplicity: The All Convolutional Net[1603.08029] Resnet in Resnet: Generalizing Residual Architectures[1702.08502] Understanding Convolution for Semantic Segmentation[1511.07122] Multi-Scale Context Aggregation by Dilated Convolutions
Related: Semantic Math
[1706.09588] Multi-scale Multi-band DenseNets for Audio Source Separation[1706.09588] Multi-scale Multi-band DenseNets for Audio Source Separation[1704.04516] Interpretable 3D Human Action Analysis with Temporal Convolutional Networks[1811.08737] SpotTune: Transfer Learning through Adaptive Fine-tuning[1709.10282] Deep Competitive Pathway Networks[1709.10282] Deep Competitive Pathway Networks[1609.09004] Byte-based Language Identification with Deep Convolutional Networks[1711.08502] Train, Diagnose and Fix: Interpretable Approach for Fine-grained Action Recognition[1609.07053] Semantic Tagging with Deep Residual Networks[1907.07951] Automatic vocal tract landmark localization from midsagittal MRI data