Cover Image

Continual-MEGA: A Large-scale Benchmark for Generalizable Continual Anomaly Detection

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Lee, Geonu, Oh, Yujeong, Jang, Geonhui, Lee, Soyoung, Song, Jeonghyo, Cha, Sungmin, Yoo, YoungJoon
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Advancing Cross-Domain Generalizability in Face Anti-Spoofing: Insights, Design, and Metrics
by: Kim, Hyojin, et al.
Published: (2024)

StoryCoder: Narrative Reformulation for Structured Reasoning in LLM Code Generation
by: Jang, Geonhui, et al.
Published: (2026)

ArcVQ-VAE: A Spherical Vector Quantization Framework with ArcCosine Additive Margin
by: Kim, Jaeyung, et al.
Published: (2026)

GuidNoise: Single-Pair Guided Diffusion for Generalized Noise Synthesis
by: Kim, Changjin, et al.
Published: (2025)

Semi-Supervised Domain Adaptation for Wildfire Detection
by: Jang, JooYoung, et al.
Published: (2024)

Hyperparameters in Continual Learning: A Reality Check
by: Cha, Sungmin, et al.
Published: (2024)

Gaussian Mixture Proposals with Pull-Push Learning Scheme to Capture Diverse Events for Weakly Supervised Temporal Video Grounding
by: Kim, Sunoh, et al.
Published: (2023)

Distributional Uncertainty for Out-of-Distribution Detection
by: Kim, JinYoung, et al.
Published: (2025)

DUAL-VAD: Dual Benchmarks and Anomaly-Focused Sampling for Video Anomaly Detection
by: Jung, Seoik, et al.
Published: (2025)

SELFI: Selective Fusion of Identity for Generalizable Deepfake Detection
by: Kim, Younghun, et al.
Published: (2025)

Cross Pseudo Labeling For Weakly Supervised Video Anomaly Detection
by: Lee, Dayeon, et al.
Published: (2026)

CoT-Segmenter: Enhancing OOD Detection in Dense Road Scenes via Chain-of-Thought Reasoning
by: Song, Jeonghyo, et al.
Published: (2025)

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

OVS Meets Continual Learning: Towards Sustainable Open-Vocabulary Segmentation
by: Hwang, Dongjun, et al.
Published: (2024)

HP-GAN: Harnessing pretrained networks for GAN improvement with FakeTwins and discriminator consistency
by: Son, Geonhui, et al.
Published: (2026)

Doubly Perturbed Task Free Continual Learning
by: Lee, Byung Hyun, et al.
Published: (2023)

TestDG: Test-time Domain Generalization for Continual Test-time Adaptation
by: Lee, Sohyun, et al.
Published: (2025)

Elevating Flow-Guided Video Inpainting with Reference Generation
by: Cho, Suhwan, et al.
Published: (2024)

Continual Visual Anomaly Detection on the Edge: Benchmark and Efficient Solutions
by: Barusco, Manuel, et al.
Published: (2026)

Generalizable Slum Detection from Satellite Imagery with Mixture-of-Experts
by: Lee, Sumin, et al.
Published: (2025)

Topic-VQ-VAE: Leveraging Latent Codebooks for Flexible Topic-Guided Document Generation
by: Yoo, YoungJoon, et al.
Published: (2023)

Continual Learning Approaches for Anomaly Detection
by: Pezze, Davide Dalle, et al.
Published: (2022)

AVHBench: A Cross-Modal Hallucination Benchmark for Audio-Visual Large Language Models
by: Sung-Bin, Kim, et al.
Published: (2024)

Bounding-Box Trajectories Matter for Video Anomaly Detection
by: Song, Inpyo, et al.
Published: (2026)

DECOR:Decomposition and Projection of Text Embeddings for Text-to-Image Customization
by: Jang, Geonhui, et al.
Published: (2024)

DualFocus: Depth from Focus with Spatio-Focal Dual Variational Constraints
by: Woo, Sungmin, et al.
Published: (2025)

MMR: A Large-scale Benchmark Dataset for Multi-target and Multi-granularity Reasoning Segmentation
by: Jang, Donggon, et al.
Published: (2025)

TWINGS: Thin Plate Splines Warp-aligned Initialization for Sparse-View Gaussian Splatting
by: Kim, Hyeseong, et al.
Published: (2026)

Enhancing Continual Learning of Vision-Language Models via Dynamic Prefix Weighting
by: Jang, Hyeonseo, et al.
Published: (2026)

Consistency-Preserving Concept Erasure via Unsafe-Safe Pairing and Directional Fisher-weighted Adaptation
by: Kim, Yongwoo, et al.
Published: (2026)

Rethinking Continual Anomaly Detection on the Edge: Benchmarking Under Realistic Industrial Conditions
by: Weatherly, Chad, et al.
Published: (2026)

Unveiling the Anomalies in an Ever-Changing World: A Benchmark for Pixel-Level Anomaly Detection in Continual Learning
by: Bugarin, Nikola, et al.
Published: (2024)

On the Nature of Attention Sink that Shapes Decoding Strategy in Omni-LLMs
by: Yoo, Suho, et al.
Published: (2026)

DeepWheel: Generating a 3D Synthetic Wheel Dataset for Design and Performance Evaluation
by: Yoo, Soyoung, et al.
Published: (2025)

MUSE: Model-based Uncertainty-aware Similarity Estimation for zero-shot 2D Object Detection and Segmentation
by: Cho, Sungmin, et al.
Published: (2025)

Are We Truly Forgetting? A Critical Re-examination of Machine Unlearning Evaluation Protocols
by: Kim, Yongwoo, et al.
Published: (2025)

Towards Realistic Incremental Scenario in Class Incremental Semantic Segmentation
by: Kwak, Jihwan, et al.
Published: (2024)

One-for-More: Continual Diffusion Model for Anomaly Detection
by: Li, Xiaofan, et al.
Published: (2025)

Exploring Multimodal Prompts For Unsupervised Continuous Anomaly Detection
by: Zhou, Mingle, et al.
Published: (2026)

Anomaly Detection for People with Visual Impairments Using an Egocentric 360-Degree Camera
by: Song, Inpyo, et al.
Published: (2024)