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Optimization

14,983 papers

Papers per year

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342
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Papers

Progressive Stage-Wise Learning for Unsupervised Feature Representation Enhancement CVPR 2021
DSRNA: Differentiable Search of Robust Neural Architectures CVPR 2021
A Dual Iterative Refinement Method for Non-Rigid Shape Matching CVPR 2021
Image Super-Resolution With Non-Local Sparse Attention CVPR 2021
Landmark Regularization: Ranking Guided Super-Net Training in Neural Architecture Search CVPR 2021
Neural Reprojection Error: Merging Feature Learning and Camera Pose Estimation CVPR 2021
Cross-Iteration Batch Normalization CVPR 2021
Architectural Adversarial Robustness: The Case for Deep Pursuit CVPR 2021
Alpha-Refine: Boosting Tracking Performance by Precise Bounding Box Estimation CVPR 2021
Adaptive Consistency Prior Based Deep Network for Image Denoising CVPR 2021
Towards Compact CNNs via Collaborative Compression CVPR 2021
Consensus Maximisation Using Influences of Monotone Boolean Functions CVPR 2021
LOHO: Latent Optimization of Hairstyles via Orthogonalization CVPR 2021
MetricOpt: Learning To Optimize Black-Box Evaluation Metrics CVPR 2021
AlphaMatch: Improving Consistency for Semi-Supervised Learning With Alpha-Divergence CVPR 2021
Learning View Selection for 3D Scenes CVPR 2021
You Only Look One-Level Feature CVPR 2021
Towards Improving the Consistency, Efficiency, and Flexibility of Differentiable Neural Architecture Search CVPR 2021
The Lottery Ticket Hypothesis for Object Recognition CVPR 2021
2D or not 2D? Adaptive 3D Convolution Selection for Efficient Video Recognition CVPR 2021
Dynamic Weighted Learning for Unsupervised Domain Adaptation CVPR 2021
Riggable 3D Face Reconstruction via In-Network Optimization CVPR 2021
Orthogonal Over-Parameterized Training CVPR 2021
IQDet: Instance-Wise Quality Distribution Sampling for Object Detection CVPR 2021
Asymmetric Gained Deep Image Compression With Continuous Rate Adaptation CVPR 2021