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Neural Network Optimization

3,649 papers

Papers per year

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Papers

Controllable Orthogonalization in Training DNNs CVPR 2020
The Devil Is in the Details: Delving Into Unbiased Data Processing for Human Pose Estimation CVPR 2020
Regularizing Neural Networks via Minimizing Hyperspherical Energy CVPR 2020
Siamese Box Adaptive Network for Visual Tracking CVPR 2020
Learning Dynamic Routing for Semantic Segmentation CVPR 2020
Learning to Optimize Non-Rigid Tracking CVPR 2020
An Internal Covariate Shift Bounding Algorithm for Deep Neural Networks by Unitizing Layers' Outputs CVPR 2020
On the Regularization Properties of Structured Dropout CVPR 2020
Dynamic Hierarchical Mimicking Towards Consistent Optimization Objectives CVPR 2020
Going Deeper With Lean Point Networks CVPR 2020
ScopeFlow: Dynamic Scene Scoping for Optical Flow CVPR 2020
Filter Grafting for Deep Neural Networks CVPR 2020
Local Context Normalization: Revisiting Local Normalization CVPR 2020
Learn to Augment: Joint Data Augmentation and Network Optimization for Text Recognition CVPR 2020
DSNAS: Direct Neural Architecture Search Without Parameter Retraining CVPR 2020
Orthogonal Convolutional Neural Networks CVPR 2020
MnasFPN: Learning Latency-Aware Pyramid Architecture for Object Detection on Mobile Devices CVPR 2020
What Makes Training Multi-Modal Classification Networks Hard? CVPR 2020
SpineNet: Learning Scale-Permuted Backbone for Recognition and Localization CVPR 2020
MUXConv: Information Multiplexing in Convolutional Neural Networks CVPR 2020
MTL-NAS: Task-Agnostic Neural Architecture Search Towards General-Purpose Multi-Task Learning CVPR 2020
NAS-FCOS: Fast Neural Architecture Search for Object Detection CVPR 2020
Efficient Derivative Computation for Cumulative B-Splines on Lie Groups CVPR 2020
AutoTrack: Towards High-Performance Visual Tracking for UAV With Automatic Spatio-Temporal Regularization CVPR 2020
SP-NAS: Serial-to-Parallel Backbone Search for Object Detection CVPR 2020