conftrace_
← Learning Types
Machine Learning › Learning Types ›

Contrastive Learning

3,538 papers

Papers per year

88
616
'20
'25

Papers

Contrastive Learning for Compact Single Image Dehazing CVPR 2021
SSAN: Separable Self-Attention Network for Video Representation Learning CVPR 2021
VideoMoCo: Contrastive Video Representation Learning With Temporally Adversarial Examples CVPR 2021
Contrastive Learning Based Hybrid Networks for Long-Tailed Image Classification CVPR 2021
Dual-Stream Multiple Instance Learning Network for Whole Slide Image Classification With Self-Supervised Contrastive Learning CVPR 2021
DeepACG: Co-Saliency Detection via Semantic-Aware Contrast Gromov-Wasserstein Distance CVPR 2021
Localizing Visual Sounds the Hard Way CVPR 2021
Propagate Yourself: Exploring Pixel-Level Consistency for Unsupervised Visual Representation Learning CVPR 2021
Exploring Simple Siamese Representation Learning CVPR 2021
Learning To Filter: Siamese Relation Network for Robust Tracking CVPR 2021
Exploring Heterogeneous Clues for Weakly-Supervised Audio-Visual Video Parsing CVPR 2021
Towards Open World Object Detection CVPR 2021
Embedding Transfer With Label Relaxation for Improved Metric Learning CVPR 2021
Reconsidering Representation Alignment for Multi-View Clustering CVPR 2021
Sequence-to-Sequence Contrastive Learning for Text Recognition CVPR 2021
Complementary Relation Contrastive Distillation CVPR 2021
Learning by Aligning Videos in Time CVPR 2021
Contrastive Neural Architecture Search With Neural Architecture Comparators CVPR 2021
Semi-Supervised Semantic Segmentation With Directional Context-Aware Consistency CVPR 2021
Memory-Guided Unsupervised Image-to-Image Translation CVPR 2021
Mining Better Samples for Contrastive Learning of Temporal Correspondence CVPR 2021
Multi-Objective Interpolation Training for Robustness To Label Noise CVPR 2021
Quasi-Dense Similarity Learning for Multiple Object Tracking CVPR 2021
Jigsaw Clustering for Unsupervised Visual Representation Learning CVPR 2021
Jo-SRC: A Contrastive Approach for Combating Noisy Labels CVPR 2021