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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
URetinex-Net: Retinex-Based Deep Unfolding Network for Low-Light Image Enhancement
CVPR 2022
PhyIR: Physics-Based Inverse Rendering for Panoramic Indoor Images
CVPR 2022
RCL: Recurrent Continuous Localization for Temporal Action Detection
CVPR 2022
Towards Bidirectional Arbitrary Image Rescaling: Joint Optimization and Cycle Idempotence
CVPR 2022
Balanced MSE for Imbalanced Visual Regression
CVPR 2022
C2SLR: Consistency-Enhanced Continuous Sign Language Recognition
CVPR 2022
Mask-Guided Spectral-Wise Transformer for Efficient Hyperspectral Image Reconstruction
CVPR 2022
Equalized Focal Loss for Dense Long-Tailed Object Detection
CVPR 2022
Block-NeRF: Scalable Large Scene Neural View Synthesis
CVPR 2022
Learning With Twin Noisy Labels for Visible-Infrared Person Re-Identification
CVPR 2022
SimVP: Simpler Yet Better Video Prediction
CVPR 2022
DIP: Deep Inverse Patchmatch for High-Resolution Optical Flow
CVPR 2022
Human Trajectory Prediction With Momentary Observation
CVPR 2022
EPro-PnP: Generalized End-to-End Probabilistic Perspective-N-Points for Monocular Object Pose Estimation
CVPR 2022
Ray3D: Ray-Based 3D Human Pose Estimation for Monocular Absolute 3D Localization
CVPR 2022
Surface Reconstruction From Point Clouds by Learning Predictive Context Priors
CVPR 2022
Deep Hybrid Models for Out-of-Distribution Detection
CVPR 2022
Multi-Source Uncertainty Mining for Deep Unsupervised Saliency Detection
CVPR 2022
Efficient Deep Embedded Subspace Clustering
CVPR 2022
Neural Compression-Based Feature Learning for Video Restoration
CVPR 2022
GazeOnce: Real-Time Multi-Person Gaze Estimation
CVPR 2022
NoiseGrad — Enhancing Explanations by Introducing Stochasticity to Model Weights
AAAI 2022
SeeThroughNet: Resurrection of Auxiliary Loss by Preserving Class Probability Information
CVPR 2022
Revisiting Temporal Alignment for Video Restoration
CVPR 2022
FoggyStereo: Stereo Matching With Fog Volume Representation
CVPR 2022
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