… placerecognition method based on one level feature fused with coordinate attention. Firstly, the relative place … 价体系下明显优于DBoW2和NetVLAD算法,与先进的 Patch-NetVLAD相比,…
… for visual placerecognition task, this is the first end-to-end weaklysupervised deep network architecture … Comparison among impacts of different weaklysupervised loss functions on the …
… Thus,a weaklysupervisedrecognition model based on ArcFace loss and multiple feature … NetVLAD: CNNarchitecture for weaklysupervisedplacerecognition//Proceedings of 2016 …
… Many existing visual placerecognition methods using CNN directly adopted the distance of … NetVLAD: CNNarchitecture for weaklysupervisedplacerecognition [C]// Proceedings of the …
… Event-VPR:end-to-end weaklysupervised deep network architecture for visual place recognition … EventVLAD:visual placerecognition with reconstructed edges from event cameras//…
… based placerecognition [C]. 2021 IEEE/CVF Conference on Computer Vision and Pattern … SpoxelNet: spherical voxel-based deep placerecognition for 3D point clouds of crowded …
施成浩, 郭瑞斌, 肖军浩, 戴斌… - Control Theory & …, 2023 - search.ebscohost.com
… placerecognition are critical tasks for localization in robotics and autonomous driving. There are few methods that can achieve efficient placerecognition … , 本文首先采用NetVLAD[33]将…
孔建磊, 金学波, 陶治, 王小艺… - Transactions of the …, 2020 - search.ebscohost.com
… Multi-branch neural network model based weaklysupervised fine-grained image … NetVLAD: CNNarchitecture for weaklysupervisedplacerecognition[C]//Proceedings of the …