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Transfer Learning

2362 directly classified papers

Papers per year

Papers

iTAML: An Incremental Task-Agnostic Meta-learning Approach CVPR 2020
MetaFuse: A Pre-trained Fusion Model for Human Pose Estimation CVPR 2020
Tangent Images for Mitigating Spherical Distortion CVPR 2020
Rethinking the Route Towards Weakly Supervised Object Localization CVPR 2020
Temporally Distributed Networks for Fast Video Semantic Segmentation CVPR 2020
RDCFace: Radial Distortion Correction for Face Recognition CVPR 2020
Search to Distill: Pearls Are Everywhere but Not the Eyes CVPR 2020
ClusterFit: Improving Generalization of Visual Representations CVPR 2020
Transferring Cross-Domain Knowledge for Video Sign Language Recognition CVPR 2020
How Useful Is Self-Supervised Pretraining for Visual Tasks? CVPR 2020
Scene-Adaptive Video Frame Interpolation via Meta-Learning CVPR 2020
End-to-End Pseudo-LiDAR for Image-Based 3D Object Detection CVPR 2020
Knowledge As Priors: Cross-Modal Knowledge Generalization for Datasets Without Superior Knowledge CVPR 2020
Bodies at Rest: 3D Human Pose and Shape Estimation From a Pressure Image Using Synthetic Data CVPR 2020
Transferring Dense Pose to Proximal Animal Classes CVPR 2020
Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning CVPR 2020
Universal Source-Free Domain Adaptation CVPR 2020
Multi-Dimensional Pruning: A Unified Framework for Model Compression CVPR 2020
DEPARA: Deep Attribution Graph for Deep Knowledge Transferability CVPR 2020
Transfer Learning From Synthetic to Real-Noise Denoising With Adaptive Instance Normalization CVPR 2020
Video to Events: Recycling Video Datasets for Event Cameras CVPR 2020
Improving Domain-Adapted Sentiment Classification by Deep Adversarial Mutual Learning AAAI 2020
Learning Agile Robotic Locomotion Skills by Imitating Animals RSS 2020
Using Chinese Glyphs for Named Entity Recognition (Student Abstract) AAAI 2020
Automatic Text-Based Personality Recognition on Monologues and Multiparty Dialogues Using Attentive Networks and Contextual Embeddings (Student Abstract) AAAI 2020