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08/29/2023
Prototype Fission: Closing Set for Robust Open-set Semi-supervised Learning
Semi-supervised Learning (SSL) has been proven vulnerable to out-of-dist...
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07/28/2023
CLIP Brings Better Features to Visual Aesthetics Learners
The success of pre-training approaches on a variety of downstream tasks ...
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03/23/2023
Box-Level Active Detection
Active learning selects informative samples for annotation within budget...
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03/15/2023
Knowledge Distillation from Single to Multi Labels: an Empirical Study
Knowledge distillation (KD) has been extensively studied in single-label...
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07/12/2022
IDEA: Increasing Text Diversity via Online Multi-Label Recognition for Vision-Language Pre-training
Vision-Language Pre-training (VLP) with large-scale image-text pairs has...
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06/24/2022
Online Distillation with Mixed Sample Augmentation
Mixed Sample Regularization (MSR), such as MixUp or CutMix, is a powerfu...
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03/31/2022
Personalized Image Aesthetics Assessment with Rich Attributes
Personalized image aesthetics assessment (PIAA) is challenging due to it...
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03/30/2022
Self-Distillation from the Last Mini-Batch for Consistency Regularization
Knowledge distillation (KD) shows a bright promise as a powerful regular...
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12/13/2021
Simple and Robust Loss Design for Multi-Label Learning with Missing Labels
Multi-label learning in the presence of missing labels (MLML) is a chall...
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09/29/2021
Federated Self-Supervised Contrastive Learning via Ensemble Similarity Distillation
This paper investigates the feasibility of learning good representation ...
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07/30/2021