471 citations · 1.5k across the 21 of their papers we have counts for
5 papers · 1 filter
Exploiting the Semantic Knowledge of Pre-trained Text-Encoders for Continual Learning
Lu Yu, Zhe Tao, Dipam Goswami +4
Deep neural networks (DNNs) excel on fixed datasets but struggle with incremental and shifting data in real-world scenarios. Continual learning addresses this challenge by allowing…
Cluster-Aware Similarity Diffusion for Instance Retrieval
Jifei Luo, Hantao Yao, Changsheng Xu
Diffusion-based re-ranking is a common method used for retrieving instances by performing similarity propagation in a nearest neighbor graph. However, existing techniques that cons…
SEP: Self-Enhanced Prompt Tuning for Visual-Language Model
Hantao Yao, Rui Zhang, Lu Yu +2
Prompt tuning based on Context Optimization (CoOp) effectively adapts visual-language models (VLMs) to downstream tasks by inferring additional learnable prompt tokens. However, th…
Hierarchical Prompts for Rehearsal-free Continual Learning
Yukun Zuo, Hantao Yao, Lu Yu +2
Continual learning endeavors to equip the model with the capability to integrate current task knowledge while mitigating the forgetting of past task knowledge. Inspired by prompt t…
Hierarchical Augmentation and Distillation for Class Incremental Audio-Visual Video Recognition
Yukun Zuo, Hantao Yao, Liansheng Zhuang +1
Audio-visual video recognition (AVVR) aims to integrate audio and visual clues to categorize videos accurately. While existing methods train AVVR models using provided datasets and…