Search Results for author: Tianyi Xiong

Found 4 papers, 2 papers with code

Few-Shot Class Incremental Learning with Attention-Aware Self-Adaptive Prompt

no code implementations • 14 Mar 2024 • Chenxi Liu, Zhenyi Wang, Tianyi Xiong, Ruibo Chen, Yihan Wu, Junfeng Guo, Heng Huang

Few-Shot Class-Incremental Learning (FSCIL) models aim to incrementally learn new classes with scarce samples while preserving knowledge of old ones.

Few-Shot Class-Incremental Learning Incremental Learning

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Your Vision-Language Model Itself Is a Strong Filter: Towards High-Quality Instruction Tuning with Data Selection

1 code implementation • 19 Feb 2024 • Ruibo Chen, Yihan Wu, Lichang Chen, Guodong Liu, Qi He, Tianyi Xiong, Chenxi Liu, Junfeng Guo, Heng Huang

In the first stage, we devise a scoring network to evaluate the difficulty of training instructions, which is co-trained with the VLM.

Instruction Following Language Modelling

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GPT-4 Vision on Medical Image Classification -- A Case Study on COVID-19 Dataset

no code implementations • 27 Oct 2023 • Ruibo Chen, Tianyi Xiong, Yihan Wu, Guodong Liu, Zhengmian Hu, Lichang Chen, Yanshuo Chen, Chenxi Liu, Heng Huang

This technical report delves into the application of GPT-4 Vision (GPT-4V) in the nuanced realm of COVID-19 image classification, leveraging the transformative potential of in-context learning to enhance diagnostic processes.

Image Classification In-Context Learning +1

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MasQCLIP for Open-Vocabulary Universal Image Segmentation

1 code implementation • ICCV 2023 • Xin Xu, Tianyi Xiong, Zheng Ding, Zhuowen Tu

We present a new method for open-vocabulary universal image segmentation, which is capable of performing instance, semantic, and panoptic segmentation under a unified framework.

Image Segmentation Panoptic Segmentation +1

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