research
∙
12/08/2022
Decorate the Newcomers: Visual Domain Prompt for Continual Test Time Adaptation
Continual Test-Time Adaptation (CTTA) aims to adapt the source model to ...
share
research
∙
07/12/2022
Trusted Multi-Scale Classification Framework for Whole Slide Image
Despite remarkable efforts been made, the classification of gigapixels w...
research
∙
07/03/2022
Memory-Based Label-Text Tuning for Few-Shot Class-Incremental Learning
Few-shot class-incremental learning(FSCIL) focuses on designing learning...
research
∙
06/16/2022
Switchable Representation Learning Framework with Self-compatibility
Real-world visual search systems involve deployments on multiple platfor...
research
∙
08/06/2021
Dual-Tuning: Joint Prototype Transfer and Structure Regularization for Compatible Feature Learning
Visual retrieval system faces frequent model update and deployment. It i...
research
∙
05/17/2021
Large-Scale Unsupervised Person Re-Identification with Contrastive Learning
Existing public person Re-Identification (ReID) datasets are small in mo...
research
∙
12/26/2020
Dual-Refinement: Joint Label and Feature Refinement for Unsupervised Domain Adaptive Person Re-Identification
Unsupervised domain adaptive (UDA) person re-identification (re-ID) is a...
research
∙
08/04/2020
Spherical Feature Transform for Deep Metric Learning
Data augmentation in feature space is effective to increase data diversi...
research
∙
08/04/2020
Prime-Aware Adaptive Distillation
Knowledge distillation(KD) aims to improve the performance of a student ...
research
∙
03/01/2017
Improving Object Detection with Region Similarity Learning
Object detection aims to identify instances of semantic objects of a cer...
research
∙
03/01/2017
