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20182026
most citedMambaHSI: Spatial-Spectral Mamba for Hyperspectral Image Classification

285 citations · 471 across the 77 of their papers we have counts for

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Showing 2024Show all

19 papers · 1 filter

cs.CL2024

Imitate Before Detect: Aligning Machine Stylistic Preference for Machine-Revised Text Detection

Jiaqi Chen, Xiaoye Zhu, Tianyang Liu +11

Large Language Models (LLMs) have revolutionized text generation, making detecting machine-generated text increasingly challenging. Although past methods have achieved good perform…

cs.LG2024

Efficient and Effective Weight-Ensembling Mixture of Experts for Multi-Task Model Merging

Li Shen, Anke Tang, Enneng Yang +6

Multi-task learning (MTL) leverages a shared model to accomplish multiple tasks and facilitate knowledge transfer. Recent research on task arithmetic-based MTL demonstrates that me…

cs.SD2024

VHASR: A Multimodal Speech Recognition System With Vision Hotwords

Jiliang Hu, Zuchao Li, Ping Wang +3

The image-based multimodal automatic speech recognition (ASR) model enhances speech recognition performance by incorporating audio-related image. However, some works suggest that i…

cs.CV2024★ 2 cited

Dual Selective Fusion Transformer Network for Hyperspectral Image Classification

Yichu Xu, Di Wang, Lefei Zhang +1

Transformer has achieved satisfactory results in the field of hyperspectral image (HSI) classification. However, existing Transformer models face two key challenges when dealing wi…

cs.CV2024★ 1 cited

Enhancing Perception of Key Changes in Remote Sensing Image Change Captioning

Cong Yang, Zuchao Li, Hongzan Jiao +2

Recently, while significant progress has been made in remote sensing image change captioning, existing methods fail to filter out areas unrelated to actual changes, making models s…

cs.CL2024

A Coin Has Two Sides: A Novel Detector-Corrector Framework for Chinese Spelling Correction

Xiangke Zeng, Zuchao Li, Lefei Zhang +3

Chinese Spelling Correction (CSC) stands as a foundational Natural Language Processing (NLP) task, which primarily focuses on the correction of erroneous characters in Chinese text…