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Contrastive Learning

3,538 papers

Papers per year

88
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Papers

Distance-Based Hyperspherical Classification for Multi-Source Open-Set Domain Adaptation WACV 2022
Hierarchically Decoupled Spatial-Temporal Contrast for Self-Supervised Video Representation Learning WACV 2022
Dual-Head Contrastive Domain Adaptation for Video Action Recognition WACV 2022
3DRefTransformer: Fine-Grained Object Identification in Real-World Scenes Using Natural Language WACV 2022
Knowledge-Augmented Contrastive Learning for Abnormality Classification and Localization in Chest X-Rays With Radiomics Using a Feedback Loop WACV 2022
V-SlowFast Network for Efficient Visual Sound Separation WACV 2022
Boosting Contrastive Self-Supervised Learning With False Negative Cancellation WACV 2022
Video Salient Object Detection via Contrastive Features and Attention Modules WACV 2022
Strumming to the Beat: Audio-Conditioned Contrastive Video Textures WACV 2022
Pose and Joint-Aware Action Recognition WACV 2022
Unsupervised Robust Domain Adaptation Without Source Data WACV 2022
StyleMC: Multi-Channel Based Fast Text-Guided Image Generation and Manipulation WACV 2022
How and What To Learn: Taxonomizing Self-Supervised Learning for 3D Action Recognition WACV 2022
Self-Supervised Video Representation Learning With Cross-Stream Prototypical Contrasting WACV 2022
Non-local Latent Relation Distillation for Self-Adaptive 3D Human Pose Estimation NIPS 2021
A Contrastive Learning Approach for Training Variational Autoencoder Priors NIPS 2021
Multi-view Contrastive Graph Clustering NIPS 2021
ReSSL: Relational Self-Supervised Learning with Weak Augmentation NIPS 2021
Learning to See by Looking at Noise NIPS 2021
Lip to Speech Synthesis with Visual Context Attentional GAN NIPS 2021
Looking Beyond Single Images for Contrastive Semantic Segmentation Learning NIPS 2021
Model Adaptation: Historical Contrastive Learning for Unsupervised Domain Adaptation without Source Data NIPS 2021
Can contrastive learning avoid shortcut solutions? NIPS 2021
Provable Guarantees for Self-Supervised Deep Learning with Spectral Contrastive Loss NIPS 2021
CLDA: Contrastive Learning for Semi-Supervised Domain Adaptation NIPS 2021