:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Niu, Yuwei, He, Shuo, Wei, Qi, Wu, Zongyu, Liu, Feng, Feng, Lei
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition Machine Learning
Online Access:	https://arxiv.org/abs/2405.15269
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Unsupervised Continual Anomaly Detection with Contrastively-learned Prompt
by: Liu, Jiaqi, et al.
Published: (2024)

Defending Multimodal Backdoored Models by Repulsive Visual Prompt Tuning
by: Zhang, Zhifang, et al.
Published: (2024)

Candidate Pseudolabel Learning: Enhancing Vision-Language Models by Prompt Tuning with Unlabeled Data
by: Zhang, Jiahan, et al.
Published: (2024)

Sample-specific Masks for Visual Reprogramming-based Prompting
by: Cai, Chengyi, et al.
Published: (2024)

Understanding Model Reprogramming for CLIP via Decoupling Visual Prompts
by: Cai, Chengyi, et al.
Published: (2025)

Bridging Modalities via Progressive Re-alignment for Multimodal Test-Time Adaptation
by: Li, Jiacheng, et al.
Published: (2025)

Detecting Backdoor Samples in Contrastive Language Image Pretraining
by: Huang, Hanxun, et al.
Published: (2025)

Adapting in the Dark: Efficient and Stable Test-Time Adaptation for Black-Box Models
by: Zhang, Yunbei, et al.
Published: (2026)

DPCore: Dynamic Prompt Coreset for Continual Test-Time Adaptation
by: Zhang, Yunbei, et al.
Published: (2024)

Test-Time Backdoor Attacks on Multimodal Large Language Models
by: Lu, Dong, et al.
Published: (2024)

Prompting the Unseen: Detecting Hidden Backdoors in Black-Box Models
by: Huang, Zi-Xuan, et al.
Published: (2024)

Look-Back: Implicit Visual Re-focusing in MLLM Reasoning
by: Yang, Shuo, et al.
Published: (2025)

CPA-Enhancer: Chain-of-Thought Prompted Adaptive Enhancer for Object Detection under Unknown Degradations
by: Zhang, Yuwei, et al.
Published: (2024)

Learning to Generate Gradients for Test-Time Adaptation via Test-Time Training Layers
by: Deng, Qi, et al.
Published: (2024)

Mask and Restore: Blind Backdoor Defense at Test Time with Masked Autoencoder
by: Sun, Tao, et al.
Published: (2023)

Contrastive Learning for Multimodal Human Activity Recognition with Limited Labeled Data
by: Jing, Long, et al.
Published: (2026)

Differential-informed Sample Selection Accelerates Multimodal Contrastive Learning
by: Zhao, Zihua, et al.
Published: (2025)

Scale, Don't Fine-tune: Guiding Multimodal LLMs for Efficient Visual Place Recognition at Test-Time
by: Cheng, Jintao, et al.
Published: (2025)

Bayesian-guided Label Mapping for Visual Reprogramming
by: Cai, Chengyi, et al.
Published: (2024)

Attribute-based Visual Reprogramming for Vision-Language Models
by: Cai, Chengyi, et al.
Published: (2025)

Self-Bootstrapping for Versatile Test-Time Adaptation
by: Niu, Shuaicheng, et al.
Published: (2025)

ZOTTA: Test-Time Adaptation with Gradient-Free Zeroth-Order Optimization
by: Zhang, Ronghao, et al.
Published: (2026)

Test-Time Attention Purification for Backdoored Large Vision Language Models
by: Zhang, Zhifang, et al.
Published: (2026)

PromptHub: Enhancing Multi-Prompt Visual In-Context Learning with Locality-Aware Fusion, Concentration and Alignment
by: Luo, Tianci, et al.
Published: (2026)

AUTO: Adaptive Outlier Optimization for Test-Time OOD Detection
by: Yang, Puning, et al.
Published: (2023)

Test-Time Canonicalization by Foundation Models for Robust Perception
by: Singhal, Utkarsh, et al.
Published: (2025)

Rethinking Positive Pairs in Contrastive Learning
by: Wu, Jiantao, et al.
Published: (2024)

NC-TTT: A Noise Contrastive Approach for Test-Time Training
by: Osowiechi, David, et al.
Published: (2024)

ReC-TTT: Contrastive Feature Reconstruction for Test-Time Training
by: Colussi, Marco, et al.
Published: (2024)

C^2Prompt: Class-aware Client Knowledge Interaction for Federated Continual Learning
by: Xu, Kunlun, et al.
Published: (2025)

Visual-Guided Key-Token Regularization for Multimodal Large Language Model Unlearning
by: Cai, Chengyi, et al.
Published: (2026)

DeCoOp: Robust Prompt Tuning with Out-of-Distribution Detection
by: Zhou, Zhi, et al.
Published: (2024)

CorruptEncoder: Data Poisoning based Backdoor Attacks to Contrastive Learning
by: Zhang, Jinghuai, et al.
Published: (2022)

RPP: A Certified Poisoned-Sample Detection Framework for Backdoor Attacks under Dataset Imbalance
by: Lin, Miao, et al.
Published: (2026)

Unsupervised Backdoor Detection and Mitigation for Spiking Neural Networks
by: Li, Jiachen, et al.
Published: (2025)

Long-Tailed Out-of-Distribution Detection with Refined Separate Class Learning
by: Feng, Shuai, et al.
Published: (2025)

Contrastive Test-Time Composition of Multiple LoRA Models for Image Generation
by: Meral, Tuna Han Salih, et al.
Published: (2024)

A Patch-based Cross-view Regularized Framework for Backdoor Defense in Multimodal Large Language Models
by: Fang, Tianmeng, et al.
Published: (2026)

Towards Accurate and Robust Architectures via Neural Architecture Search
by: Ou, Yuwei, et al.
Published: (2024)

Efficient Backdoor Defense in Multimodal Contrastive Learning: A Token-Level Unlearning Method for Mitigating Threats
by: Liu, Kuanrong, et al.
Published: (2024)