Bin-Bin Gao

Venues

Frequent coauthors

Papers

1. AdaptCLIP: Adapting CLIP for Universal Visual Anomaly Detection
   AAAI 2026 · Bin-Bin Gao
2. BoxSeg: Quality-Aware and Peer-Assisted Learning for Box-supervised Instance Segmentation
   ACM MM 2025 ·

   Jinxiang Lai

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3. MMAD: A Comprehensive Benchmark for Multimodal Large Language Models in Industrial Anomaly Detection
   ICLR 2025 ·

   Xi Jiang

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4. Real-IAD D3: A Real-World 2D/Pseudo-3D/3D Dataset for Industrial Anomaly Detection
   CVPR 2025 ·

   Wenbing Zhu

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5. Distribution-Aware Calibration for Object Detection with Noisy Bounding Boxes
   BMVC 2024 ·

   Donghao Zhou

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6. Few-Shot Anomaly-Driven Generation for Anomaly Classification and Segmentation
   ECCV 2024 ·

   Guan Gui

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7. Learning Task-Aware Language-Image Representation for Class-Incremental Object Detection
   AAAI 2024 ·

   Hongquan Zhang

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8. Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt
   ECCV 2024 · Bin-Bin Gao
9. MatchDet: A Collaborative Framework for Image Matching and Object Detection
   AAAI 2024 ·

   Jinxiang Lai

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10. MetaUAS: Universal Anomaly Segmentation with One-Prompt Meta-Learning
    NeurIPS 2024 · Bin-Bin Gao
11. Real-IAD: A Real-World Multi-View Dataset for Benchmarking Versatile Industrial Anomaly Detection
    CVPR 2024 ·

    Chengjie Wang

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12. Unsupervised Continual Anomaly Detection with Contrastively-Learned Prompt
    AAAI 2024 ·

    Jiaqi Liu

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