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Model Architecture

4,354 papers

Papers per year

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Papers

ADNet: Adaptively Dense Convolutional Neural Networks WACV 2020
Self-Orthogonality Module: A Network Architecture Plug-in for Learning Orthogonal Filters WACV 2020
Cooperative Initialization based Deep Neural Network Training WACV 2020
L*ReLU: Piece-wise Linear Activation Functions for Deep Fine-grained Visual Categorization WACV 2020
ELoPE: Fine-Grained Visual Classification with Efficient Localization, Pooling and Embedding WACV 2020
Figure Captioning with Relation Maps for Reasoning WACV 2020
Architecture Search of Dynamic Cells for Semantic Video Segmentation WACV 2020
Image identification of Protea species with attributes and subgenus scaling WACV 2020
Scale-aware Conditional Generative Adversarial Network for Image Dehazing WACV 2020
DAVID: Dual-Attentional Video Deblurring WACV 2020
Devon: Deformable Volume Network for Learning Optical Flow WACV 2020
Adapting Grad-CAM for Embedding Networks WACV 2020
Deep Adaptive Wavelet Network WACV 2020
Filter Distillation for Network Compression WACV 2020
Two-Grid Preconditioned Solver for Bundle Adjustment WACV 2020
Kornia: an Open Source Differentiable Computer Vision Library for PyTorch WACV 2020
XNAS: Neural Architecture Search with Expert Advice NIPS 2019
Hyperbolic Graph Neural Networks NIPS 2019
Robust Attribution Regularization NIPS 2019
Differentiable Cloth Simulation for Inverse Problems NIPS 2019
Temporal FiLM: Capturing Long-Range Sequence Dependencies with Feature-Wise Modulations. NIPS 2019
Convolution with even-sized kernels and symmetric padding NIPS 2019
Exploring Unexplored Tensor Network Decompositions for Convolutional Neural Networks NIPS 2019
Are Sixteen Heads Really Better than One? NIPS 2019
Stochastic Shared Embeddings: Data-driven Regularization of Embedding Layers NIPS 2019