Horticultural Image Feature Matching Algorithm Based on Improved ORB and LK Optical Flow
Remote Sensing, 2022 To solve the low accuracy of image feature matching in horticultural robot visual navigation, an innovative and effective image feature matching algorithm was proposed combining the improved Oriented FAST and Rotated BRIEF (ORB) and Lucas–Kanade (LK ...
Qinhan Chen +6 more
doaj +1 more source
2023 IEEE/CVF International Conference on Computer Vision (ICCV), 2023 Current feature matching methods focus on point-level matching, pursuing better representation learning of individual features, but lacking further understanding of the scene. This results in significant performance degradation when handling challenging scenes such as scenes with large viewpoint and illumination changes.
Lu, Xiaoyong +3 more
openaire +2 more sources
FedFM: Anchor-Based Feature Matching for Data Heterogeneity in Federated Learning [PDF]
IEEE Transactions on Signal Processing, 2022 One of the key challenges in federated learning (FL) is local data distribution heterogeneity across clients, which may cause inconsistent feature spaces across clients.
Rui Ye +5 more
semanticscholar +1 more source
Show, Attend and Distill: Knowledge Distillation via Attention-based Feature Matching [PDF]
AAAI Conference on Artificial Intelligence, 2021 Knowledge distillation extracts general knowledge from a pretrained teacher network and provides guidance to a target student network. Most studies manually tie intermediate features of the teacher and student, and transfer knowledge through predefined ...
Mingi Ji, Byeongho Heo, Sungrae Park
semanticscholar +1 more source
Separable mechanisms underlying global feature-based attention [PDF]
, 2012 Feature-based attention is known to operate in a spatially global manner, in that the selection of attended features is not bound to the spatial focus of attention.
Bondarenko, Rowena +5 more
core +1 more source
Interpretable and Generalizable Person Re-Identification with Query-Adaptive Convolution and Temporal Lifting [PDF]
, 2020 For person re-identification, existing deep networks often focus on representation learning. However, without transfer learning, the learned model is fixed as is, which is not adaptable for handling various unseen scenarios.
DG Lowe +6 more
core +3 more sources
Matching Algorithm of Statistical Optimization Feature Based on Grid Method
Xibei Gongye Daxue Xuebao, 2019 The matching algorithm based on image feature points is widely used in image retrieval, target detection, identification and other image processing fields.
doaj +1 more source
An Optical Remote Sensing Image Matching Method Based on the Simple and Stable Feature Database
Applied Sciences, 2023 Satellite remote sensing has entered the era of big data due to the increase in the number of remote sensing satellites and imaging modes. This presents significant challenges for the processing of remote sensing systems and will result in extremely high
Zilu Zhao, Hui Long, Hongjian You
doaj +1 more source
DC-image for real time compressed video matching [PDF]
, 2014 This chapter presents a suggested framework for video matching based on local features extracted from the DC-image of MPEG compressed videos, without full decompression. In addition, the relevant arguments and supporting evidences are discussed.
Ahmed, Amr +2 more
core +1 more source
Research on Adaptive ORB-SURF Image Matching Algorithm Based on Fusion of Edge Features
IEEE Access, 2022 The traditional speeded-up robust features (SURF) algorithm has certain stability in scale, rotation, illumination and other changes. However, this algorithm has problems such as large amount of computation, low matching accuracy, and time-consuming in ...
Leng Han +4 more
doaj +1 more source