_ | iou | _ |
3D | iou | Match: Leveraging IoU Prediction for Semi-Supervised 3D Object Detection |
Accurate bounding-box regression with distance- | iou | loss for visual tracking |
Batching Soft | iou | for Training Semantic Segmentation Networks |
Boundary | iou | : Improving Object-Centric Image Segmentation Evaluation |
Class-Aware 3D Detector From Point Clouds With Partial Knowledge Diffusion and Center-Weighted | iou | |
Comet: Context-aware | iou | -guided Network for Small Object Tracking |
Confluence: A Robust Non- | iou | Alternative to Non-Maxima Suppression in Object Detection |
Control Distance | iou | and Control Distance IoU Loss for Better Bounding Box Regression |
Control Distance | iou | and Control Distance IoU Loss for Better Bounding Box Regression |
Deep Dive into Gradients: Better Optimization for 3D Object Detection with Gradient-Corrected | iou | Supervision |
Diag- | iou | Loss for Object Detection |
Gaussian guided | iou | : A better metric for balanced learning on object detection |
Humans Disagree With the | iou | for Measuring Object Detector Localization Error |
Improving Object Localization with Fitness NMS and Bounded | iou | Loss |
| iou | Attack: Towards Temporally Coherent Black-Box Adversarial Attack for Visual Object Tracking |
| iou | Loss for 2D/3D Object Detection |
| iou | -Adaptive Deformable R-CNN: Make Full Use of IoU for Multi-Class Object Detection in Remote Sensing Imagery |
| 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 |
| iou | -Balanced loss functions for single-stage object detection |
| iou | -enhanced Attention for End-to-end Task Specific Object Detection |
| iou | -uniform R-CNN: Breaking through the limitations of RPN |
| iou | : Siamtrack: IOU Guided Siamese Network For Visual Object Tracking |
| iou | : Siamtrack: IOU Guided Siamese Network For Visual Object Tracking |
Multi-Modal Pedestrian Detection with Large Misalignment Based on Modal-Wise Regression and Multi-Modal | iou | |
MultiRPN-DIDNet: Multiple RPNs and Distance- | iou | Discriminative Network for Real-Time UAV Target Tracking |
Multiscale | iou | : A Metric for Evaluation of Salient Object Detection with Fine Structures |
Occluded Pedestrian Detection with Visible | iou | and Box Sign Predictor |
Probabilistic Anchor Assignment with | iou | Prediction for Object Detection |
Prohibited Object Detection in X-ray Images with Dynamic Deformable Convolution and Adaptive | iou | |
Pseudo- | iou | : Improving Label Assignment in Anchor-Free Object Detection |
Quantizing Oriented Object Detection Network via Outlier-Aware Quantization and | iou | Approximation |
Rethinking | iou | -based Optimization for Single-stage 3D Object Detection |
Siamese visual tracking with multilayer feature fusion and corner distance | iou | loss |
Systematic | iou | -Related Method: Beyond Simplified Regression for Better Localization, A |
Training Cascade Compact CNN With Region- | iou | for Accurate Pedestrian Detection |
Triangle Distance | iou | Loss, Attention-Weighted Feature Pyramid Network, and Rotated-SARShip Dataset for Arbitrary-Oriented SAR Ship Detection |
VarifocalNet: An | iou | -aware Dense Object Detector |
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