non-maximum suppression

Ref-NMS: Breaking Proposal Bottlenecks in Two-Stage Referring Expression Grounding AAAI 2021 RODNet: Radar Object Detection Using Cross-Modal Supervision WACV 2021 Sparse R-CNN: End-to-End Object Detection With Learnable Proposals CVPR 2021 What Makes for End-to-End Object Detection? ICML 2021 Beta R-CNN: Looking into Pedestrian Detection from Another Perspective NeurIPS 2020 Distance-IoU Loss: Faster and Better Learning for Bounding Box Regression AAAI 2020 Joint 3D Instance Segmentation and Object Detection for Autonomous Driving CVPR 2020 NMS by Representative Region: Towards Crowded Pedestrian Detection by Proposal Pairing CVPR 2020 Seeing without Looking: Contextual Rescoring of Object Detections for AP Maximization CVPR 2020 SOLOv2: Dynamic and Fast Instance Segmentation NeurIPS 2020 Adaptive NMS: Refining Pedestrian Detection in a Crowd CVPR 2019 Bounding Box Regression With Uncertainty for Accurate Object Detection CVPR 2019 FCOS: Fully Convolutional One-Stage Object Detection ICCV 2019 Learning to Rank Proposals for Object Detection ICCV 2019 MaxpoolNMS: Getting Rid of NMS Bottlenecks in Two-Stage Object Detectors CVPR 2019 YOLACT: Real-Time Instance Segmentation ICCV 2019 Improving Object Localization With Fitness NMS and Bounded IoU Loss CVPR 2018 Learning Detection With Diverse Proposals CVPR 2017 Towards Accurate Multi-Person Pose Estimation in the Wild CVPR 2017 DeepCut: Joint Subset Partition and Labeling for Multi Person Pose Estimation CVPR 2016 End-To-End People Detection in Crowded Scenes CVPR 2016 End-to-End Integration of a Convolution Network, Deformable Parts Model and Non-Maximum Suppression CVPR 2015 Spatial Semantic Regularisation for Large Scale Object Detection ICCV 2015 TILDE: A Temporally Invariant Learned DEtector CVPR 2015 Optimized Pedestrian Detection for Multiple and Occluded People CVPR 2013