Cover Image

FiLo++: Zero-/Few-Shot Anomaly Detection by Fused Fine-Grained Descriptions and Deformable Localization

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Gu, Zhaopeng, Zhu, Bingke, Zhu, Guibo, Chen, Yingying, Tang, Ming, Wang, Jinqiao
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

FiLo: Zero-Shot Anomaly Detection by Fine-Grained Description and High-Quality Localization
by: Gu, Zhaopeng, et al.
Published: (2024)

UniVAD: A Training-free Unified Model for Few-shot Visual Anomaly Detection
by: Gu, Zhaopeng, et al.
Published: (2024)

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

MathPhys-Guided Coarse-to-Fine Anomaly Synthesis with SQE-Driven Bi-Level Optimization for Anomaly Detection
by: Qian, Long, et al.
Published: (2025)

Quality-Aware Language-Conditioned Local Auto-Regressive Anomaly Synthesis and Detection
by: Qian, Long, et al.
Published: (2025)

LINK: Adaptive Modality Interaction for Audio-Visual Video Parsing
by: Wang, Langyu, et al.
Published: (2024)

MROVSeg: Breaking the Resolution Curse of Vision-Language Models in Open-Vocabulary Image Segmentation
by: Zhu, Yuanbing, et al.
Published: (2024)

MUG: Pseudo Labeling Augmented Audio-Visual Mamba Network for Audio-Visual Video Parsing
by: Wang, Langyu, et al.
Published: (2025)

Optimization of Prompt Learning via Multi-Knowledge Representation for Vision-Language Models
by: Zhang, Enming, et al.
Published: (2024)

AnomalyAgent: Training-Free Agentic Models for Zero-/Few-Shot Anomaly Detection
by: Zhang, Yi, et al.
Published: (2026)

Semantic Noise Reduction via Teacher-Guided Dual-Path Audio-Visual Representation Learning
by: Wang, Linge, et al.
Published: (2026)

Towards Fine-Grained Vision-Language Alignment for Few-Shot Anomaly Detection
by: Fan, Yuanting, et al.
Published: (2025)

FB-CLIP: Fine-Grained Zero-Shot Anomaly Detection with Foreground-Background Disentanglement
by: Hu, Ming, et al.
Published: (2026)

Bootstrap Fine-Grained Vision-Language Alignment for Unified Zero-Shot Anomaly Localization
by: Deng, Hanqiu, et al.
Published: (2023)

Friend or Foe? Harnessing Controllable Overfitting for Anomaly Detection
by: Qian, Long, et al.
Published: (2024)

Dual Distillation for Few-Shot Anomaly Detection
by: Dong, Le, et al.
Published: (2026)

Fine-Grained Zero-Shot Object Detection
by: Ma, Hongxu, et al.
Published: (2025)

Monocular Lane Detection Based on Deep Learning: A Survey
by: He, Xin, et al.
Published: (2024)

Multi-Scale Memory Comparison for Zero-/Few-Shot Anomaly Detection
by: Huang, Chaoqin, et al.
Published: (2023)

Fine-Grained Prototypes Distillation for Few-Shot Object Detection
by: Wang, Zichen, et al.
Published: (2024)

COFT-AD: COntrastive Fine-Tuning for Few-Shot Anomaly Detection
by: Liao, Jingyi, et al.
Published: (2024)

UltraAD: Fine-Grained Ultrasound Anomaly Classification via Few-Shot CLIP Adaptation
by: Zhou, Yue, et al.
Published: (2025)

InCTRLv2: Generalist Residual Models for Few-Shot Anomaly Detection and Segmentation
by: Zhu, Jiawen, et al.
Published: (2026)

Auto DragGAN: Editing the Generative Image Manifold in an Autoregressive Manner
by: Cai, Pengxiang, et al.
Published: (2024)

Is Foreground Prototype Sufficient? Few-Shot Medical Image Segmentation with Background-Fused Prototype
by: Tang, Song, et al.
Published: (2024)

PA-CLIP: Enhancing Zero-Shot Anomaly Detection through Pseudo-Anomaly Awareness
by: Pan, Yurui, et al.
Published: (2025)

UniFGVC: Universal Training-Free Few-Shot Fine-Grained Vision Classification via Attribute-Aware Multimodal Retrieval
by: Guo, Hongyu, et al.
Published: (2025)

Hybrid Feature Collaborative Reconstruction Network for Few-Shot Fine-Grained Image Classification
by: Qiu, Shulei, et al.
Published: (2024)

Local-Prompt: Extensible Local Prompts for Few-Shot Out-of-Distribution Detection
by: Zeng, Fanhu, et al.
Published: (2024)

BFRFormer: Transformer-based generator for Real-World Blind Face Restoration
by: Ge, Guojing, et al.
Published: (2024)

Fine-grained Abnormality Prompt Learning for Zero-shot Anomaly Detection
by: Zhu, Jiawen, et al.
Published: (2024)

Sketch and Text Synergy: Fusing Structural Contours and Descriptive Attributes for Fine-Grained Image Retrieval
by: Wang, Siyuan, et al.
Published: (2026)

Zero-Shot Aerial Object Detection with Visual Description Regularization
by: Zang, Zhengqing, et al.
Published: (2024)

LoFi: Vision-Aided Label Generator for Wi-Fi Localization and Tracking
by: Zhao, Zijian, et al.
Published: (2024)

A Benchmark for Crime Surveillance Video Analysis with Large Models
by: Chen, Haoran, et al.
Published: (2025)

Semantic Iterative Reconstruction: One-Shot Universal Anomaly Detection
by: Zhu, Ning
Published: (2026)

SETR: A Two-Stage Semantic-Enhanced Framework for Zero-Shot Composed Image Retrieval
by: Xiao, Yuqi, et al.
Published: (2025)

CoFi: A Fast Coarse-to-Fine Few-Shot Pipeline for Glomerular Basement Membrane Segmentation
by: Fang, Hongjin, et al.
Published: (2025)

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

Beyond Normal References: Discriminative Few-Shot Anomaly Detection
by: Wang, Huan, et al.
Published: (2026)