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Methodology
← Learning Types
Deep Learning
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Learning Types
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Deep Learning
1752 directly classified papers
Papers per year
2007: 1
2008: 1
2010: 2
2011: 2
2012: 3
2013: 14
2014: 12
2015: 20
2016: 48
2017: 98
2018: 154
2019: 205
2020: 255
2021: 205
2022: 198
2023: 160
2024: 208
2025: 163
2026: 3
Papers
Learning-Based Sampling for Natural Image Matting
CVPR 2019
Understanding the Limitations of CNN-Based Absolute Camera Pose Regression
CVPR 2019
DeepLiDAR: Deep Surface Normal Guided Depth Prediction for Outdoor Scene From Sparse LiDAR Data and Single Color Image
CVPR 2019
DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion
CVPR 2019
Depth-Aware Video Frame Interpolation
CVPR 2019
Deep Flow-Guided Video Inpainting
CVPR 2019
Fully Automatic Video Colorization With Self-Regularization and Diversity
CVPR 2019
Local Detection of Stereo Occlusion Boundaries
CVPR 2019
Single Image Deraining: A Comprehensive Benchmark Analysis
CVPR 2019
Content Authentication for Neural Imaging Pipelines: End-To-End Optimization of Photo Provenance in Complex Distribution Channels
CVPR 2019
Generating Multiple Hypotheses for 3D Human Pose Estimation With Mixture Density Network
CVPR 2019
P2SGrad: Refined Gradients for Optimizing Deep Face Models
CVPR 2019
Time-Conditioned Action Anticipation in One Shot
CVPR 2019
Automatic Face Aging in Videos via Deep Reinforcement Learning
CVPR 2019
Viewport Proposal CNN for 360deg Video Quality Assessment
CVPR 2019
DuDoNet: Dual Domain Network for CT Metal Artifact Reduction
CVPR 2019
ChamNet: Towards Efficient Network Design Through Platform-Aware Model Adaptation
CVPR 2019
Regularizing Activation Distribution for Training Binarized Deep Networks
CVPR 2019
Simultaneously Optimizing Weight and Quantizer of Ternary Neural Network Using Truncated Gaussian Approximation
CVPR 2019
Combining Deep Learning and Verification for Precise Object Instance Detection
CORL 2019
From Implicit to Explicit Feedback: A deep neural network for modeling the sequential behavior of online users
ACML 2019
Separate Loss for Basic and Compound Facial Expression Recognition in the Wild
ACML 2019
Focused Anchors Loss: cost-sensitive learning of discriminative features for imbalanced classification
ACML 2019
Capsule Networks Need an Improved Routing Algorithm
ACML 2019
Multi-Granularity Self-Attention for Neural Machine Translation
EMNLP 2019
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