Cover Image

ResAD: A Simple Framework for Class Generalizable Anomaly Detection

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yao, Xincheng, Chen, Zixin, Gao, Chao, Zhai, Guangtao, Zhang, Chongyang
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

ResAD++: Towards Class Agnostic Anomaly Detection via Residual Feature Learning
by: Yao, Xincheng, et al.
Published: (2025)

Hierarchical Gaussian Mixture Normalizing Flow Modeling for Unified Anomaly Detection
by: Yao, Xincheng, et al.
Published: (2024)

ResAD: Normalized Residual Trajectory Modeling for End-to-End Autonomous Driving
by: Zheng, Zhiyu, et al.
Published: (2025)

MMR-AD: A Large-Scale Multimodal Dataset for Benchmarking General Anomaly Detection with Multimodal Large Language Models
by: Yao, Xincheng, et al.
Published: (2026)

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

CableInspect-AD: An Expert-Annotated Anomaly Detection Dataset
by: Arodi, Akshatha, et al.
Published: (2024)

C3D-AD: Toward Continual 3D Anomaly Detection via Kernel Attention with Learnable Advisor
by: Lu, Haoquan, et al.
Published: (2025)

MCL-AD: Multimodal Collaboration Learning for Zero-Shot 3D Anomaly Detection
by: Li, Gang, et al.
Published: (2025)

PUAD: Frustratingly Simple Method for Robust Anomaly Detection
by: Sugawara, Shota, et al.
Published: (2024)

FUN-AD: Fully Unsupervised Learning for Anomaly Detection with Noisy Training Data
by: Im, Jiin, et al.
Published: (2024)

SubspaceAD: Training-Free Few-Shot Anomaly Detection via Subspace Modeling
by: Lendering, Camile, et al.
Published: (2026)

DINO-Detect: A Simple yet Effective Framework for Blur-Robust AI-Generated Image Detection
by: Shen, Jialiang, et al.
Published: (2025)

Removing Geometric Bias in One-Class Anomaly Detection with Adaptive Feature Perturbation
by: Hermary, Romain, et al.
Published: (2025)

LogiCode: an LLM-Driven Framework for Logical Anomaly Detection
by: Zhang, Yiheng, et al.
Published: (2024)

Integrating Deep Feature Extraction and Hybrid ResNet-DenseNet Model for Multi-Class Abnormality Detection in Endoscopic Images
by: Sagar, Aman, et al.
Published: (2024)

VAN-AD: Visual Masked Autoencoder with Normalizing Flow For Time Series Anomaly Detection
by: Chen, PengYu, et al.
Published: (2026)

ResNet-50 with Class Reweighting and Anatomy-Guided Temporal Decoding for Gastrointestinal Video Analysis
by: Imtiaz, Romil, et al.
Published: (2026)

SSL-AD: Spatiotemporal Self-Supervised Learning for Generalizability and Adaptability Across Alzheimer's Prediction Tasks and Datasets
by: Kaczmarek, Emily, et al.
Published: (2025)

Hyperspectral Anomaly Detection with Self-Supervised Anomaly Prior
by: Liu, Yidan, et al.
Published: (2024)

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

PASS++: A Dual Bias Reduction Framework for Non-Exemplar Class-Incremental Learning
by: Zhu, Fei, et al.
Published: (2024)

Leveraging Generalizability of Image-to-Image Translation for Enhanced Adversarial Defense
by: Zhang, Haibo, et al.
Published: (2025)

LEDetection: A Simple Framework for Semi-Supervised Few-Shot Object Detection
by: Tran, Phi Vu
Published: (2023)

SHADE-AD: An LLM-Based Framework for Synthesizing Activity Data of Alzheimer's Patients
by: Fu, Heming, et al.
Published: (2025)

Research on Anomaly Detection Methods Based on Diffusion Models
by: Chen, Yi
Published: (2025)

3D Diffusion Policy: Generalizable Visuomotor Policy Learning via Simple 3D Representations
by: Ze, Yanjie, et al.
Published: (2024)

On the Problem of Consistent Anomalies in Zero-Shot Anomaly Detection
by: Le-Gia, Tai
Published: (2025)

CGCOD: Class-Guided Camouflaged Object Detection
by: Zhang, Chenxi, et al.
Published: (2024)

LFME: A Simple Framework for Learning from Multiple Experts in Domain Generalization
by: Chen, Liang, et al.
Published: (2024)

Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need
by: Zhou, Da-Wei, et al.
Published: (2023)

When Classes Evolve: A Benchmark and Framework for Stage-Aware Class-Incremental Learning
by: Zhang, Zheng, et al.
Published: (2026)

FastAT Benchmark: A Comprehensive Framework for Fair Evaluation of Fast Adversarial Training Methods
by: Pan, Chao, et al.
Published: (2026)

DMAD: Dual Memory Bank for Real-World Anomaly Detection
by: Hu, Jianlong, et al.
Published: (2024)

CRD: Collaborative Representation Distance for Practical Anomaly Detection
by: Han, Chao, et al.
Published: (2023)

SimPro: A Simple Probabilistic Framework Towards Realistic Long-Tailed Semi-Supervised Learning
by: Du, Chaoqun, et al.
Published: (2024)

Detecting Out-of-Distribution Objects through Class-Conditioned Inpainting
by: Nguyen, Quang-Huy, et al.
Published: (2024)

Set Features for Anomaly Detection
by: Cohen, Niv, et al.
Published: (2023)

Wavelet-Driven Generalizable Framework for Deepfake Face Forgery Detection
by: Baru, Lalith Bharadwaj, et al.
Published: (2024)

Learning Generalizable Prompt for CLIP with Class Similarity Knowledge
by: Jung, Sehun, et al.
Published: (2025)

Parameter Efficient Multi-Class Intelligent Scheduling for Multimodal Online Distributed Industrial Anomaly Detection
by: Wang, Heqiang, et al.
Published: (2026)