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20212026
most citedAnomalyGPT: Detecting Industrial Anomalies Using Large Vision-Language Models

10 citations · 27 across the 21 of their papers we have counts for

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Showing 2023Show all

6 papers · 1 filter

cs.CL2023★ 1 cited

ChineseWebText: Large-scale High-quality Chinese Web Text Extracted with Effective Evaluation Model

Jianghao Chen, Pu Jian, Tengxiao Xi +7

During the development of large language models (LLMs), the scale and quality of the pre-training data play a crucial role in shaping LLMs' capabilities. To accelerate the research…

cs.CV2023★ 10 cited

AnomalyGPT: Detecting Industrial Anomalies Using Large Vision-Language Models

Zhaopeng Gu, Bingke Zhu, Guibo Zhu +3

Large Vision-Language Models (LVLMs) such as MiniGPT-4 and LLaVA have demonstrated the capability of understanding images and achieved remarkable performance in various visual task…

cs.CR2023

FastBCSD: Fast and Efficient Neural Network for Binary Code Similarity Detection

Chensen Huang, Guibo Zhu, Guojing Ge +2

Binary code similarity detection (BCSD) has various applications, including but not limited to vulnerability detection, plagiarism detection, and malware detection. Previous resear…

cs.CV2023★ 2 cited

The 3rd Anti-UAV Workshop & Challenge: Methods and Results

Jian Zhao, Jianan Li, Lei Jin +20

The 3rd Anti-UAV Workshop & Challenge aims to encourage research in developing novel and accurate methods for multi-scale object tracking. The Anti-UAV dataset used for the Anti-UA…

cs.CV2023

Temporal-Channel Topology Enhanced Network for Skeleton-Based Action Recognition

Jinzhao Luo, Lu Zhou, Guibo Zhu +3

Skeleton-based action recognition has become popular in recent years due to its efficiency and robustness. Most current methods adopt graph convolutional network (GCN) for topology…

cs.CV2023★ 7 cited

BrainCLIP: Bridging Brain and Visual-Linguistic Representation Via CLIP for Generic Natural Visual Stimulus Decoding

Yulong Liu, Yongqiang Ma, Wei Zhou +2

Due to the lack of paired samples and the low signal-to-noise ratio of functional MRI (fMRI) signals, reconstructing perceived natural images or decoding their semantic contents fr…