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20232026
most citedREB: Reducing Biases in Representation for Industrial Anomaly Detection

34 citations · 47 across the 8 of their papers we have counts for

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5 papers · 1 filter

cs.CV2026

Multi-Branch Policy Optimization for Multimodal Large Language Models

Shuai Lyu, Yuning Gong, Ruiling Gao +7

Group-based reinforcement learning methods for multimodal large language models typically rely on trajectory-level credit assignment that applies a single advantage to all tokens i…

cs.CV2026★ 6 cited

Ultralytics YOLO26: Unified Real-Time End-to-End Vision Models

Glenn Jocher, Jing Qiu, Mengyu Liu +3

Real-time vision demands models that are accurate, efficient, and simple to deploy across diverse hardware. The YOLO family has become widely deployed for this reason, yet most YOL…

cs.CV2025★ 4 cited

TSVC:Tripartite Learning with Semantic Variation Consistency for Robust Image-Text Retrieval

Shuai Lyu, Zijing Tian, Zhonghong Ou +5

Cross-modal retrieval maps data under different modality via semantic relevance. Existing approaches implicitly assume that data pairs are well-aligned and ignore the widely existi…

cs.CV2024★ 1 cited

MVREC: A General Few-shot Defect Classification Model Using Multi-View Region-Context

Shuai Lyu, Rongchen Zhang, Zeqi Ma +3

Few-shot defect multi-classification (FSDMC) is an emerging trend in quality control within industrial manufacturing. However, current FSDMC research often lacks generalizability d…

cs.CV2023★ 34 cited

REB: Reducing Biases in Representation for Industrial Anomaly Detection

Shuai Lyu, Dongmei Mo, Waikeung Wong

Existing representation-based methods usually conduct industrial anomaly detection in two stages: obtain feature representations with a pre-trained model and perform distance measu…