4 papers · 1 filter
LDEPrompt: Layer-importance guided Dual Expandable Prompt Pool for Pre-trained Model-based Class-Incremental Learning
Linjie Li, Zhenyu Wu, Huiyu Xiao +1
Prompt-based class-incremental learning methods typically construct a prompt pool consisting of multiple trainable key-prompts and perform instance-level matching to select the mos…
EmoAssist: Emotional Assistant for Visual Impairment Community
Xingyu Qi, He Li, Linjie Li +1
The rapid advancement of large multi-modality models (LMMs) has significantly propelled the integration of artificial intelligence into practical applications. Visual Question Answ…
TaE: Task-aware Expandable Representation for Long Tail Class Incremental Learning
Linjie Li, Zhenyu Wu, Jiaming Liu +1
Class-incremental learning is dedicated to the development of deep learning models that are capable of acquiring new knowledge while retaining previously learned information. Most…
SOAR: Scene-debiasing Open-set Action Recognition
Yuanhao Zhai, Ziyi Liu, Zhenyu Wu +5
Deep learning models have a risk of utilizing spurious clues to make predictions, such as recognizing actions based on the background scene. This issue can severely degrade the ope…