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Focal and efficient IOU loss for accurate bounding box regression

Neurocomputing (Amsterdam), 2022-09, Vol.506, p.146-157

2022

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IoU-Adaptive Deformable R-CNN: Make Full Use of IoU for Multi-Class Object Detection in Remote Sensing Imagery

Remote sensing (Basel, Switzerland), 2019-02, Vol.11 (3), p.286

2019

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IoU-aware single-stage object detector for accurate localization

Image and vision computing, 2020-05, Vol.97, p.103911, Article 103911

2020

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Control Distance IoU and Control Distance IoU Loss for Better Bounding Box Regression

Pattern recognition, 2023-05, Vol.137, p.109256, Article 109256

2023

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Diag-IoU Loss for Object Detection

IEEE transactions on circuits and systems for video technology, 2023-12, Vol.33 (12), p.1-1

2023

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IoU-Balanced loss functions for single-stage object detection

Pattern recognition letters, 2022-04, Vol.156, p.96-103

2022

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IOU-Guided Siamese Tracking

Mathematical problems in engineering, 2021-10, Vol.2021, p.1-10

2021

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IoU-uniform R-CNN: Breaking through the limitations of RPN

Pattern recognition, 2021-04, Vol.112, p.107816, Article 107816

2021

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N-IoU: better IoU-based bounding box regression loss for object detection

Neural computing & applications, 2024-02, Vol.36 (6), p.3049-3063

2024

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IoUformer: Pseudo-IoU prediction with transformer for visual tracking

Neural networks, 2024-02, Vol.170, p.548-563

2024

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IASA: An IoU-aware tracker with adaptive sample assignment

Neural networks, 2023-04, Vol.161, p.267-280

2023

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Field-of-View IoU for Object Detection in 360° Images

IEEE transactions on image processing, 2023-07, Vol.PP, p.1-1

2023

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IEEE_Xplore

Batching Soft IoU for Training Semantic Segmentation Networks

IEEE signal processing letters, 2020, Vol.27, p.66-70

2020

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IEEE_Xplore

IMSiam: IoU-aware Matching-adaptive Siamese network for object tracking

Neurocomputing (Amsterdam), 2022-07, Vol.492, p.222-233

2022

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An IoU-aware Siamese network for real-time visual tracking

Neurocomputing (Amsterdam), 2023-03, Vol.527, p.13-26

2023

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Victor(iou)’s myologists: snapshots of a legacy

Neuromuscular disorders : NMD, 2021-10, Vol.31 (10), p.1096-1099

2021

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Secure IoU in Adversarial Environments: User Authentication and Performance Optimization

IEEE transactions on vehicular technology, 2023-09, Vol.72 (9), p.1-13

2023

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IEEE_Xplore

A Systematic IoU-Related Method: Beyond Simplified Regression for Better Localization

IEEE transactions on image processing, 2021, Vol.30, p.5032-5044

2021

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Object Detection for UAV Aerial Scenarios Based on Vectorized IOU

Sensors (Basel, Switzerland), 2023-03, Vol.23 (6), p.3061

2023

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Gaussian-IoU loss: Better learning for bounding box regression on PCB component detection

Expert systems with applications, 2022-03, Vol.190, p.116178, Article 116178

2022

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Manhattan-distance IOU loss for fast and accurate bounding box regression and object detection

Neurocomputing (Amsterdam), 2022-08, Vol.500, p.99-114

2022

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Ellipse IoU Loss: Better Learning for Rotated Bounding Box Regression

IEEE geoscience and remote sensing letters, 2024, Vol.21, p.1-5

2024

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Class-aware 3D detector from point clouds with partial knowledge diffusion and center-weighted IoU

IEEE transactions on circuits and systems for video technology, 2024-02, Vol.34 (2), p.1-1

2024

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IEEE_Xplore

Confluence: A Robust Non-IoU Alternative to Non-Maxima Suppression in Object Detection

IEEE transactions on pattern analysis and machine intelligence, 2023-10, Vol.PP (10), p.1-16

2023

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IEEE_Xplore

IoU Regression with H+L-Sampling for Accurate Detection Confidence

Sensors (Basel, Switzerland), 2021-06, Vol.21 (13), p.4433

2021

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Focal and efficient IOU loss for accurate bounding box regression

IoU-Adaptive Deformable R-CNN: Make Full Use of IoU for Multi-Class Object Detection in Remote Sensing Imagery

IoU-aware single-stage object detector for accurate localization

Control Distance IoU and Control Distance IoU Loss for Better Bounding Box Regression

Diag-IoU Loss for Object Detection

IoU-Balanced loss functions for single-stage object detection

IOU-Guided Siamese Tracking

IoU-uniform R-CNN: Breaking through the limitations of RPN

N-IoU: better IoU-based bounding box regression loss for object detection

IoUformer: Pseudo-IoU prediction with transformer for visual tracking

IASA: An IoU-aware tracker with adaptive sample assignment

Field-of-View IoU for Object Detection in 360° Images

Batching Soft IoU for Training Semantic Segmentation Networks

IMSiam: IoU-aware Matching-adaptive Siamese network for object tracking

An IoU-aware Siamese network for real-time visual tracking

Victor(iou)’s myologists: snapshots of a legacy

Secure IoU in Adversarial Environments: User Authentication and Performance Optimization

A Systematic IoU-Related Method: Beyond Simplified Regression for Better Localization

Object Detection for UAV Aerial Scenarios Based on Vectorized IOU

Gaussian-IoU loss: Better learning for bounding box regression on PCB component detection

Manhattan-distance IOU loss for fast and accurate bounding box regression and object detection

Ellipse IoU Loss: Better Learning for Rotated Bounding Box Regression

Class-aware 3D detector from point clouds with partial knowledge diffusion and center-weighted IoU

Confluence: A Robust Non-IoU Alternative to Non-Maxima Suppression in Object Detection

IoU Regression with H+L-Sampling for Accurate Detection Confidence

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