Copertina

Filter or Compensate: Towards Invariant Representation from Distribution Shift for Anomaly Detection

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Chen, Zining, Luo, Xingshuang, Wang, Weiqiu, Zhao, Zhicheng, Su, Fei, Men, Aidong
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computer Vision and Pattern Recognition
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

PracticalDG: Perturbation Distillation on Vision-Language Models for Hybrid Domain Generalization
di: Chen, Zining, et al.
Pubblicazione: (2024)

Data-Efficient Generalization for Zero-shot Composed Image Retrieval
di: Chen, Zining, et al.
Pubblicazione: (2025)

Camera-Invariant Meta-Learning Network for Single-Camera-Training Person Re-identification
di: Pei, Jiangbo, et al.
Pubblicazione: (2024)

Robust Distribution Alignment for Industrial Anomaly Detection under Distribution Shift
di: Liao, Jingyi, et al.
Pubblicazione: (2025)

TriDP-PTM: a three-stage distortion-perception tradeoff guides the pre-training model for radar cardiac sensing
di: Li, Jinye, et al.
Pubblicazione: (2026)

Aligning What EEG Can See: Structural Representations for Brain-Vision Matching
di: Tang, Jingyi, et al.
Pubblicazione: (2026)

Incorporating Pre-training Data Matters in Unsupervised Domain Adaptation
di: Xu, Yinsong, et al.
Pubblicazione: (2023)

ADPretrain: Advancing Industrial Anomaly Detection via Anomaly Representation Pretraining
di: Yao, Xincheng, et al.
Pubblicazione: (2025)

Hierarchical IoU Tracking based on Interval
di: Du, Yunhao, et al.
Pubblicazione: (2024)

YYDS: Visible-Infrared Person Re-Identification with Coarse Descriptions
di: Du, Yunhao, et al.
Pubblicazione: (2024)

Fleximo: Towards Flexible Text-to-Human Motion Video Generation
di: Zhang, Yuhang, et al.
Pubblicazione: (2024)

When Invariant Representation Learning Meets Label Shift: Insufficiency and Theoretical Insights
di: Luo, You-Wei, et al.
Pubblicazione: (2024)

Self-Supervised Monocular Depth Estimation in the Dark: Towards Data Distribution Compensation
di: Yang, Haolin, et al.
Pubblicazione: (2024)

Decoupled Complementary Spectral-Spatial Learning for Background Representation Enhancement in Hyperspectral Anomaly Detection
di: Jin, Wenping, et al.
Pubblicazione: (2025)

iKUN: Speak to Trackers without Retraining
di: Du, Yunhao, et al.
Pubblicazione: (2023)

Bring Adaptive Binding Prototypes to Generalized Referring Expression Segmentation
di: Li, Weize, et al.
Pubblicazione: (2024)

A Lightweight 3D Anomaly Detection Method with Rotationally Invariant Features
di: Liang, Hanzhe, et al.
Pubblicazione: (2025)

Modality and Task Adaptation for Enhanced Zero-shot Composed Image Retrieval
di: Li, Haiwen, et al.
Pubblicazione: (2024)

Generalize or Detect? Towards Robust Semantic Segmentation Under Multiple Distribution Shifts
di: Gao, Zhitong, et al.
Pubblicazione: (2024)

Continuous Memory Representation for Anomaly Detection
di: Lee, Joo Chan, et al.
Pubblicazione: (2024)

Structure-Augmented Standard Plane Detection with Temporal Aggregation in Blind-Sweep Fetal Ultrasound
di: Niu, Keli, et al.
Pubblicazione: (2026)

CHRep: Cross-modal Histology Representation and Post-hoc Calibration for Spatial Gene Expression Prediction
di: Wang, Changfan, et al.
Pubblicazione: (2026)

Utilizing the Score of Data Distribution for Hyperspectral Anomaly Detection
di: Sheng, Jiahui, et al.
Pubblicazione: (2026)

Anomize: Better Open Vocabulary Video Anomaly Detection
di: Li, Fei, et al.
Pubblicazione: (2025)

Center-aware Residual Anomaly Synthesis for Multi-class Industrial Anomaly Detection
di: Chen, Qiyu, et al.
Pubblicazione: (2025)

Incremental Human-Object Interaction Detection with Invariant Relation Representation Learning
di: Wei, Yana, et al.
Pubblicazione: (2025)

FocusChat: Text-guided Long Video Understanding via Spatiotemporal Information Filtering
di: Cheng, Zheng, et al.
Pubblicazione: (2024)

AnomalyMoE: Towards a Language-free Generalist Model for Unified Visual Anomaly Detection
di: Gu, Zhaopeng, et al.
Pubblicazione: (2025)

Weakly Supervised Video Anomaly Detection with Anomaly-Connected Components and Intention Reasoning
di: Wang, Yu, et al.
Pubblicazione: (2026)

A Unified Anomaly Synthesis Strategy with Gradient Ascent for Industrial Anomaly Detection and Localization
di: Chen, Qiyu, et al.
Pubblicazione: (2024)

Out-of-Distribution Detection Based on Total Variation Estimation
di: Ma, Dabiao, et al.
Pubblicazione: (2026)

Automatic Synthesis of High-Quality Triplet Data for Composed Image Retrieval
di: Li, Haiwen, et al.
Pubblicazione: (2025)

Rethinking Two-Stage Referring-by-Tracking in Referring Multi-Object Tracking: Make it Strong Again
di: Li, Weize, et al.
Pubblicazione: (2025)

On the Robustness of Human-Object Interaction Detection against Distribution Shift
di: Xie, Chi, et al.
Pubblicazione: (2025)

Multimodal Task Representation Memory Bank vs. Catastrophic Forgetting in Anomaly Detection
di: Zhou, You, et al.
Pubblicazione: (2025)

Learning Unified Reference Representation for Unsupervised Multi-class Anomaly Detection
di: He, Liren, et al.
Pubblicazione: (2024)

CRCL: Causal Representation Consistency Learning for Anomaly Detection in Surveillance Videos
di: Liu, Yang, et al.
Pubblicazione: (2025)

Conv-INR: Convolutional Implicit Neural Representation for Multimodal Visual Signals
di: Cai, Zhicheng
Pubblicazione: (2024)

FreqMixFormerV2: Lightweight Frequency-aware Mixed Transformer for Human Skeleton Action Recognition
di: Wu, Wenhan, et al.
Pubblicazione: (2024)

Towards Efficient Pixel Labeling for Industrial Anomaly Detection and Localization
di: Li, Hanxi, et al.
Pubblicazione: (2024)