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20182026
most citedPromptFL: Let Federated Participants Cooperatively Learn Prompts Instead of Models -- Federated Learning in Age of Foundation Model

12 citations · 62 across the 39 of their papers we have counts for

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6 papers · 1 filter

cs.CV2024★ 1 cited

Self-Introspective Decoding: Alleviating Hallucinations for Large Vision-Language Models

Fushuo Huo, Wenchao Xu, Zhong Zhang +3

While Large Vision-Language Models (LVLMs) have rapidly advanced in recent years, the prevalent issue known as the `hallucination' problem has emerged as a significant bottleneck,…

cs.CV2024★ 1 cited

Detached and Interactive Multimodal Learning

Yunfeng Fan, Wenchao Xu, Haozhao Wang +2

Recently, Multimodal Learning (MML) has gained significant interest as it compensates for single-modality limitations through comprehensive complementary information within multimo…

cs.CV2023

Non-Exemplar Online Class-incremental Continual Learning via Dual-prototype Self-augment and Refinement

Fushuo Huo, Wenchao Xu, Jingcai Guo +3

This paper investigates a new, practical, but challenging problem named Non-exemplar Online Class-incremental continual Learning (NO-CL), which aims to preserve the discernibility…

cs.CV2022

Demystify Self-Attention in Vision Transformers from a Semantic Perspective: Analysis and Application

Leijie Wu, Song Guo, Yaohong Ding +4

Self-attention mechanisms, especially multi-head self-attention (MSA), have achieved great success in many fields such as computer vision and natural language processing. However,…

cs.CV2022

ProCC: Progressive Cross-primitive Compatibility for Open-World Compositional Zero-Shot Learning

Fushuo Huo, Wenchao Xu, Song Guo +4

Open-World Compositional Zero-shot Learning (OW-CZSL) aims to recognize novel compositions of state and object primitives in images with no priors on the compositional space, which…

cs.CV2021★ 2 cited

SNEAK: Synonymous Sentences-Aware Adversarial Attack on Natural Language Video Localization

Wenbo Gou, Wen Shi, Jian Lou +3

Natural language video localization (NLVL) is an important task in the vision-language understanding area, which calls for an in-depth understanding of not only computer vision and…