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Optimization

14,983 papers

Papers per year

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Papers

Improving the Robustness of Capsule Networks to Image Affine Transformations CVPR 2020
Low-Rank Compression of Neural Nets: Learning the Rank of Each Layer CVPR 2020
Can We Learn Heuristics for Graphical Model Inference Using Reinforcement Learning? CVPR 2020
Robust Homography Estimation via Dual Principal Component Pursuit CVPR 2020
Optimizing Rank-Based Metrics With Blackbox Differentiation CVPR 2020
Learning to Optimize on SPD Manifolds CVPR 2020
Approximating shapes in images with low-complexity polygons CVPR 2020
Learning Combinatorial Solver for Graph Matching CVPR 2020
Non-Adversarial Video Synthesis With Learned Priors CVPR 2020
Relative Interior Rule in Block-Coordinate Descent CVPR 2020
Hierarchically Robust Representation Learning CVPR 2020
A Characteristic Function Approach to Deep Implicit Generative Modeling CVPR 2020
A Graduated Filter Method for Large Scale Robust Estimation CVPR 2020
Rotation Consistent Margin Loss for Efficient Low-Bit Face Recognition CVPR 2020
How to Train Your Deep Multi-Object Tracker CVPR 2020
HyperSTAR: Task-Aware Hyperparameters for Deep Networks CVPR 2020
GeoDA: A Geometric Framework for Black-Box Adversarial Attacks CVPR 2020
Select to Better Learn: Fast and Accurate Deep Learning Using Data Selection From Nonlinear Manifolds CVPR 2020
Information-Driven Direct RGB-D Odometry CVPR 2020
Filter Grafting for Deep Neural Networks CVPR 2020
SQE: a Self Quality Evaluation Metric for Parameters Optimization in Multi-Object Tracking CVPR 2020
Minimizing Discrete Total Curvature for Image Processing CVPR 2020
FroDO: From Detections to 3D Objects CVPR 2020
Bridging the Gap Between Anchor-Based and Anchor-Free Detection via Adaptive Training Sample Selection CVPR 2020
Enhanced Transport Distance for Unsupervised Domain Adaptation CVPR 2020