ASAHI adaptively slices high-res images into 6 or 12 patches, adds slicing-assisted fine-tuning, and uses Cluster-DIoU-NMS to hit 56.8% mAP on VisDrone2019 and 22.7% on xView while running 20-25% faster than fixed slicing baselines.
PP-YOLOE: An evolved version of YOLO
6 Pith papers cite this work, alongside 225 external citations. Polarity classification is still indexing.
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Pith papers citing it
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2026 6verdicts
UNVERDICTED 6representative citing papers
Presents MMIO benchmark and RTVP method achieving state-of-the-art 42.2% AP in zero-shot industrial defect detection.
A two-stage RGB-T detector performs lightweight modality-specific proposal generation followed by sparse fusion-based refinement to match accuracy of heavier models at lower parameter and compute cost.
AERIS organizes small language models into dynamic roles for edge UAVs with attention-subgoal alignment to enable long-horizon vision-language navigation while preserving real-time closed-loop operation.
A new PCB defect detection method using structure-guided masked pretraining and spatial continuity regularization achieves 85.5% mAP0.5 on the DsPCBSD+ dataset.
YOLOv11 delivers higher mean average precision on standard benchmarks than prior YOLO versions while keeping real-time inference speed through C3K2, SPPF, and C2PSA modules.
citing papers explorer
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Adaptive Slicing-Assisted Hyper Inference for Enhanced Small Object Detection in High-Resolution Imagery
ASAHI adaptively slices high-res images into 6 or 12 patches, adds slicing-assisted fine-tuning, and uses Cluster-DIoU-NMS to hit 56.8% mAP on VisDrone2019 and 22.7% on xView while running 20-25% faster than fixed slicing baselines.
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Zero-Shot Learning in Industrial Scenarios: New Large-Scale Benchmark, Challenges and Baseline
Presents MMIO benchmark and RTVP method achieving state-of-the-art 42.2% AP in zero-shot industrial defect detection.
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Efficient RGB-T Object Detection via Sparse Cross-Modality Fusion
A two-stage RGB-T detector performs lightweight modality-specific proposal generation followed by sparse fusion-based refinement to match accuracy of heavier models at lower parameter and compute cost.
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AERIS: Aerial-Edge Role-Driven Intelligence at Runtime via Orchestrated Language-Model Swarm
AERIS organizes small language models into dynamic roles for edge UAVs with attention-subgoal alignment to enable long-horizon vision-language navigation while preserving real-time closed-loop operation.
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Structure-Guided Mixed Masked Pretraining and Spatial Continuity Regularization for Printed Circuit Board Defect Detection
A new PCB defect detection method using structure-guided masked pretraining and spatial continuity regularization achieves 85.5% mAP0.5 on the DsPCBSD+ dataset.
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YOLOv11 Demystified: A Practical Guide to High-Performance Object Detection
YOLOv11 delivers higher mean average precision on standard benchmarks than prior YOLO versions while keeping real-time inference speed through C3K2, SPPF, and C2PSA modules.