:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Chen, Haoxing, Li, Yaohui, Huang, Zizheng, Hong, Yan, Xu, Zhuoer, Gu, Zhangxuan, Lan, Jun, Zhu, Huijia, Wang, Weiqiang
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition
Online Access:	https://arxiv.org/abs/2404.09872
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Boosting Audio-visual Zero-shot Learning with Large Language Models
by: Chen, Haoxing, et al.
Published: (2023)

DeMamba: AI-Generated Video Detection on Million-Scale GenVideo Benchmark
by: Chen, Haoxing, et al.
Published: (2024)

Efficient Transfer Learning for Video-language Foundation Models
by: Chen, Haoxing, et al.
Published: (2024)

Stochastic Layer-Wise Shuffle for Improving Vision Mamba Training
by: Huang, Zizheng, et al.
Published: (2024)

Adaptive and Balanced Re-initialization for Long-timescale Continual Test-time Domain Adaptation
by: Wang, Yanshuo, et al.
Published: (2026)

Maintain Plasticity in Long-timescale Continual Test-time Adaptation
by: Wang, Yanshuo, et al.
Published: (2024)

Robustness in AI-Generated Detection: Enhancing Resistance to Adversarial Attacks
by: Haoxuan, Sun, et al.
Published: (2025)

Supervised Contrastive Learning for Snapshot Spectral Imaging Face Anti-Spoofing
by: Song, Chuanbiao, et al.
Published: (2024)

Dual-Adapter: Training-free Dual Adaptation for Few-shot Out-of-Distribution Detection
by: Chen, Xinyi, et al.
Published: (2024)

InterAnimate: Taming Region-aware Diffusion Model for Realistic Human Interaction Animation
by: Lin, Yukang, et al.
Published: (2025)

DS-VTON: An Enhanced Dual-Scale Coarse-to-Fine Framework for Virtual Try-On
by: Sun, Xianbing, et al.
Published: (2025)

Generalizable and Adaptive Continual Learning Framework for AI-generated Image Detection
by: Wang, Hanyi, et al.
Published: (2026)

EMIT: Enhancing MLLMs for Industrial Anomaly Detection via Difficulty-Aware GRPO
by: Guan, Wei, et al.
Published: (2025)

DomainGallery: Few-shot Domain-driven Image Generation by Attribute-centric Finetuning
by: Duan, Yuxuan, et al.
Published: (2024)

VideoVeritas: AI-Generated Video Detection via Perception Pretext Reinforcement Learning
by: Tan, Hao, et al.
Published: (2026)

Interpretable and Reliable Detection of AI-Generated Images via Grounded Reasoning in MLLMs
by: Ji, Yikun, et al.
Published: (2025)

Towards Explainable Fake Image Detection with Multi-Modal Large Language Models
by: Ji, Yikun, et al.
Published: (2025)

The Devil is in the Few Shots: Iterative Visual Knowledge Completion for Few-shot Learning
by: Li, Yaohui, et al.
Published: (2024)

Prototype Clustered Diffusion Models for Versatile Inverse Problems
by: Zhang, Jinghao, et al.
Published: (2024)

Clustering-Guided Multi-Layer Contrastive Representation Learning for Citrus Disease Classification
by: Chen, Jun, et al.
Published: (2025)

E-ANT: A Large-Scale Dataset for Efficient Automatic GUI NavigaTion
by: Wang, Ke, et al.
Published: (2024)

GAMMA: Generalizable Alignment via Multi-task and Manipulation-Augmented Training for AI-Generated Image Detection
by: Yan, Haozhen, et al.
Published: (2025)

COCO-Inpaint: A Benchmark for Detecting and Localizing Inpainting-Based Image Manipulations
by: Yan, Haozhen, et al.
Published: (2025)

Locate-Then-Examine: Grounded Region Reasoning Improves Detection of AI-Generated Images
by: Ji, Yikun, et al.
Published: (2025)

Veritas: Generalizable Deepfake Detection via Pattern-Aware Reasoning
by: Tan, Hao, et al.
Published: (2025)

ERTACache: Error Rectification and Timesteps Adjustment for Efficient Diffusion
by: Peng, Xurui, et al.
Published: (2025)

TextSleuth: Towards Explainable Tampered Text Detection
by: Qu, Chenfan, et al.
Published: (2024)

Rectification Reimagined: A Unified Mamba Model for Image Correction and Rectangling with Prompts
by: Qiu, Linwei, et al.
Published: (2025)

Few-shot Calligraphy Style Learning
by: Chen, Fangda, et al.
Published: (2024)

ConditionVideo: Training-Free Condition-Guided Text-to-Video Generation
by: Peng, Bo, et al.
Published: (2023)

Prompting Segment Anything Model with Domain-Adaptive Prototype for Generalizable Medical Image Segmentation
by: Wei, Zhikai, et al.
Published: (2024)

PromptKD: Unsupervised Prompt Distillation for Vision-Language Models
by: Li, Zheng, et al.
Published: (2024)

Benchmarking Unified Face Attack Detection via Hierarchical Prompt Tuning
by: Liu, Ajian, et al.
Published: (2025)

Enhancing the Reliability of Segment Anything Model for Auto-Prompting Medical Image Segmentation with Uncertainty Rectification
by: Zhang, Yichi, et al.
Published: (2023)

ReCon: Region-Controllable Data Augmentation with Rectification and Alignment for Object Detection
by: Zhu, Haowei, et al.
Published: (2025)

ProTPS: Prototype-Guided Text Prompt Selection for Continual Learning
by: Mei, Jie, et al.
Published: (2026)

Histomorphology-Guided Prototypical Multi-Instance Learning for Breast Cancer WSI Classification
by: Wang, Baizhi, et al.
Published: (2025)

Zooming without Zooming: Region-to-Image Distillation for Fine-Grained Multimodal Perception
by: Wei, Lai, et al.
Published: (2026)

Multimodal Feature Prototype Learning for Interpretable and Discriminative Cancer Survival Prediction
by: Jiang, Shuo, et al.
Published: (2025)

Dual-frequency Selected Knowledge Distillation with Statistical-based Sample Rectification for PolSAR Image Classification
by: Xin, Xinyue, et al.
Published: (2025)