Feb 14, 2018 · They show how a trade-off between processing time and ranking quality, for any given descriptor, can be achieved through a multi-stage ranking ...
Feb 14, 2018 · They show how a trade-off between processing time and ranking quality, for any given descriptor, can be achieved through a multi-stage ranking ...
Mar 29, 2021 · We show how a trade-off between processing time and ranking quality, for any given descriptor, can be achieved through a multi-stage ranking ...
They show how a trade-off between processing time and ranking quality, for any given descriptor, can be achieved through a multi-stage ranking approach inspired ...
We address instead the issue of the processing time required to compute the similarity values, and propose a multi-stage ranking approach to attain a trade-off ...
We address instead the issue of the processing time required to compute the similarity values, and propose a multi-stage ranking approach to attain a trade-off ...
This code provides the implementation of the multi-stage ranking system from our paper 'A Multi-Stage Ranking Approach for Fast Person Re-Identification'.
We address instead the issue of the processing time required to compute the similarity values, and propose a multi-stage ranking approach to attain a trade-off ...
We address instead the issue of the processing time required to compute the similarity values, and propose a multi-stage ranking approach to attain a trade-off ...
In this paper, we propose a multilevel metric rank match (MMRM) method, which ranks the extracted feature on multilevel of the network.