Torchreid: Deep learning person re-identification in PyTorch.
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Updated
Feb 8, 2023 - Python
Torchreid: Deep learning person re-identification in PyTorch.
SOTA Re-identification Methods and Toolbox
Person Re-ranking (CVPR 2017)
A real-time GNN-based method. Understanding Image Retrieval Re-Ranking: A Graph Neural Network Perspective
An Unsupervised Distance Learning Framework for Multimedia Retrieval
(NeurIPS 2021) Pytorch implementation of paper "Re-ranking for image retrieval and transductive few-shot classification"
To implement reranking techniques for recommendation system and search engine.
Re-ranking task using MS MARCO dataset and Hugging Face library
[Official Codes] CPFair: Personalized Consumer and Producer Fairness Re-ranking for Recommender Systems (SIGIR2022)
Code repo of solution of 11th place in Recsys Challenge 2022
Expert Finding in Legal Community Question Answering - Accepted at ECIR 2022.
Official implementation of "Confidence-Aware Active Feedback for Interactive Instance Search".
This repository contains the code of the paper Multi-Camera Person Re-Identification using Spatiotemporal Context Modeling
Naver AI Hackathon 2018 : Image Retrieval Challenge
This repo will soon hold the implementation of the re-ranking methods used for writer retrieval in the @Article{jordan2020re, title={Re-ranking for Writer Identification and Writer Retrieval}, author={Jordan, Simon and Seuret, Mathias and Kr{\'a}l, Pavel and Lenc, Ladislav and Mart{\'\i}nek, Ji{\v{r}}{\'\i} and Wiermann, Barbara and Schwinger, T…
Implemented POS tagging by combining a standard HMM tagger separately with a Maximum Entropy classifier designed to re-rank the k-best tag sequences produced by HMM – achieved better results than VITERBI (decoding algorithm)
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