bounding box regression

Learning a Unified Sample Weighting Network for Object Detection CVPR 2020 Offset Bin Classification Network for Accurate Object Detection CVPR 2020 Rethinking Classification and Localization for Object Detection CVPR 2020 Rethinking the Route Towards Weakly Supervised Object Localization CVPR 2020 Revisiting the Sibling Head in Object Detector CVPR 2020 ROAM: Recurrently Optimizing Tracking Model CVPR 2020 SiamCAR: Siamese Fully Convolutional Classification and Regression for Visual Tracking CVPR 2020 Siamese Box Adaptive Network for Visual Tracking CVPR 2020 Bounding Box Regression With Uncertainty for Accurate Object Detection CVPR 2019 Disentangling Monocular 3D Object Detection ICCV 2019 Generalized Intersection Over Union: A Metric and a Loss for Bounding Box Regression CVPR 2019 Gradient Harmonized Single-Stage Detector AAAI 2019 GS3D: An Efficient 3D Object Detection Framework for Autonomous Driving CVPR 2019 Learning Object Bounding Boxes for 3D Instance Segmentation on Point Clouds NeurIPS 2019 Learning Object Context for Dense Captioning AAAI 2019 Scale Invariant Fully Convolutional Network: Detecting Hands Efficiently AAAI 2019 Selective Refinement Network for High Performance Face Detection AAAI 2019 'Skimming-Perusal' Tracking: A Framework for Real-Time and Robust Long-Term Tracking ICCV 2019 Towards Precise End-to-End Weakly Supervised Object Detection Network ICCV 2019 Tracking Without Bells and Whistles ICCV 2019 WSOD2: Learning Bottom-Up and Top-Down Objectness Distillation for Weakly-Supervised Object Detection ICCV 2019 Improving Object Localization With Fitness NMS and Bounded IoU Loss CVPR 2018 Repulsion Loss: Detecting Pedestrians in a Crowd CVPR 2018 Rotation-Sensitive Regression for Oriented Scene Text Detection CVPR 2018 3D Bounding Box Estimation Using Deep Learning and Geometry CVPR 2017