物联网应用技术实验室

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实验室概况

实验室新闻

德育天地

学术活动

03/28

2026

论文汇报：IAD-R1: Reinforcing Consistent Reasoning in Industrial Anomaly Detection

03/28

2026

论文汇报：SeaS Few-shot Industrial Anomaly Image Generation with Separation and Sharing Fine-tunning

03/21

2026

论文汇报：Generalist Multi-Class Anomaly Detection via Distillation to Two Heterogeneous Student Networks

03/21

2026

论文汇报：AdaptCLIP: Adapting CLIP for Universal Visual Anomaly Detection

03/14

2026

论文汇报：ADPretrain: Advancing Industrial Anomaly Detection via Anomaly Representation Pretraining

03/14

2026

论文汇报：MapTRv2: An End-to-End Framework for Online Vectorized HD Map Construction

02/25

2026

论文汇报：One-Cycle Structured Pruning via Stability-Driven Subnetwork Search

02/25

2026

论文汇报：Anomagic: Crossmodal Prompt-driven Zero-shot Anomaly Generation

02/11

2026

论文汇报：ANOMALYCLIP: OBJECT-AGNOSTIC PROMPT LEARNING FOR ZERO-SHOT ANOMALY DETECTION

02/11

2026

论文汇报：Wavelet and Prototype Augmented Query-based Transformer for Pixel-level Surface Defect Detection

02/04

2026

论文汇报：Resolution Matters: An Effective Approach to Anomaly Detection

02/04

2026

论文汇报：SuperAD：A Training-free Anomaly Classification and Segmentation Method for CVPR 2025 VAND 3.0 Workshop Challenge

01/28

2026

论文汇报：One Language-Free Foundation Model Is Enough for Universal Vision Anomaly Detection

01/28

2026

论文汇报：Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data

01/21

2026

论文汇报：TOWARDS META-PRUNING VIA OPTIMAL TRANSPORT

01/21

2026

论文汇报：AnoStyler: Text-Driven Localized Anomaly Generation via Lightweight Style Transfer

01/14

2026

论文汇报：AA-CLIP: Enhancing Zero-Shot Anomaly Detection via Anomaly-Aware CLIP

01/14

2026

论文汇报：Hierarchical Queries for 3D Lane Detection Based on Multi-Frame Point Clouds

01/07

2026

论文汇报：Accurate Anomaly Localization in Challenging Industrial Settings via a Hybrid Detection Framework

01/07

2026

论文汇报：Exploring Intrinsic Normal Prototypes within a Single Image for Universal Anomaly Detection

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