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← Core Methods
Machine Learning
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Core Methods
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Classification
15,289 papers
Papers per year
2000: 2
2001: 14
2002: 21
2003: 28
2004: 28
2005: 26
2006: 94
2007: 93
2008: 90
2009: 93
2010: 134
2011: 112
2012: 160
2013: 290
2014: 239
2015: 258
2016: 456
2017: 682
2018: 1145
2019: 1500
2020: 1638
2021: 1667
2022: 1636
2023: 1685
2024: 1600
2025: 1313
2026: 285
Papers
One-Class Face Anti-spoofing via Spoof Cue Map-Guided Feature Learning
CVPR 2024
Ranking Distillation for Open-Ended Video Question Answering with Insufficient Labels
CVPR 2024
YolOOD: Utilizing Object Detection Concepts for Multi-Label Out-of-Distribution Detection
CVPR 2024
Positive-Unlabeled Learning by Latent Group-Aware Meta Disambiguation
CVPR 2024
Regressor-Segmenter Mutual Prompt Learning for Crowd Counting
CVPR 2024
ProTeCt: Prompt Tuning for Taxonomic Open Set Classification
CVPR 2024
L2B: Learning to Bootstrap Robust Models for Combating Label Noise
CVPR 2024
Novel Class Discovery for Ultra-Fine-Grained Visual Categorization
CVPR 2024
Discriminability-Driven Channel Selection for Out-of-Distribution Detection
CVPR 2024
Video Recognition in Portrait Mode
CVPR 2024
The STVchrono Dataset: Towards Continuous Change Recognition in Time
CVPR 2024
Contrastive Learning for DeepFake Classification and Localization via Multi-Label Ranking
CVPR 2024
Enhancing the Power of OOD Detection via Sample-Aware Model Selection
CVPR 2024
RankED: Addressing Imbalance and Uncertainty in Edge Detection Using Ranking-based Losses
CVPR 2024
Self-Calibrating Vicinal Risk Minimisation for Model Calibration
CVPR 2024
Not All Voxels Are Equal: Hardness-Aware Semantic Scene Completion with Self-Distillation
CVPR 2024
AMU-Tuning: Effective Logit Bias for CLIP-based Few-shot Learning
CVPR 2024
CAPE: CAM as a Probabilistic Ensemble for Enhanced DNN Interpretation
CVPR 2024
RTMO: Towards High-Performance One-Stage Real-Time Multi-Person Pose Estimation
CVPR 2024
MCPNet: An Interpretable Classifier via Multi-Level Concept Prototypes
CVPR 2024
Rethinking the Up-Sampling Operations in CNN-based Generative Network for Generalizable Deepfake Detection
CVPR 2024
NAPGuard: Towards Detecting Naturalistic Adversarial Patches
CVPR 2024
ViLa-MIL: Dual-scale Vision-Language Multiple Instance Learning for Whole Slide Image Classification
CVPR 2024
Beyond Seen Primitive Concepts and Attribute-Object Compositional Learning
CVPR 2024
Towards Calibrated Multi-label Deep Neural Networks
CVPR 2024
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