Distance-IoU Loss: Faster and Better Learning for Bounding Box Regression

AAAI Conference on Artificial Intelligence (AAAI), 2019

19 November 2019

Wei Liu

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Papers citing "Distance-IoU Loss: Faster and Better Learning for Bounding Box Regression"

10 / 410 papers shown

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YOLOv4: Optimal Speed and Accuracy of Object Detection

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ASFD: Automatic and Scalable Face Detector

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Inferring Spatial Uncertainty in Object DetectionIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2020

Klaus C. J. Dietmayer

Masayoshi Tomizuka

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254

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VerSe: A Vertebrae Labelling and Segmentation Benchmark for Multi-detector CT Images

...

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Aerial Images Processing for Car Detection using Convolutional Neural Networks: Comparison between Faster R-CNN and YoloV3

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Imbalance Problems in Object Detection: A ReviewIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019

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R3Det: Refined Single-Stage Detector with Feature Refinement for Rotating ObjectAAAI Conference on Artificial Intelligence (AAAI), 2019

Xue Yang

367

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Object Detection in 20 Years: A SurveyProceedings of the IEEE (Proc. IEEE), 2019

470

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