Topic: reidentification Goto Github
Some thing interesting about reidentification
Some thing interesting about reidentification
reidentification,[WACV'23] The official code for "Relation Preserving Triplet Mining for Stabilising the Triplet Loss in Re-identification Systems"
User: adhirajghosh
reidentification,Object-Reidentification
User: adich23
reidentification,This data pipeline is built upon the AWS Cloud Infrastructure and uses Streamlit as a front-end for user input.
User: adison1994
reidentification,En este repositorio se recoge el codigo desarrollado durante el trabajo final de master. Master en Big Data y Data Science en la Universidad Internacional de Valencia
User: alvgoro
reidentification,This repo created for the Kaggle competition "Happywhale - Whale and Dolphin Identification"
User: artyomnaz
reidentification,Awesome Cross-modality Person Re-identification
User: bismex
reidentification,Awesome Person Re-identification
User: bismex
reidentification,Awesome Vehicle Re-identification
User: bismex
reidentification,The very first open-source chicken re-identification dataset COMING SOON
User: dariakern
Home Page: https://www.instagram.com/dari4science
reidentification,Person re-identification to observe domain shift. Models trained and tested on the self domain as well as on cross domains(i.e. Models trained on Market1501 and tested on DukeMTMC)
User: dipeshtamboli
reidentification,Privacy & Security Lab
Organization: ds-modules
reidentification,Reimplementation of Bag of Tricks and A Strong Baseline for Deep Person Re-identification
User: dtennant
reidentification,Face detection and re-identifaction of people from a videostream
User: guillaumebalezo
reidentification,Image and Video Re-ID Framework
User: haruishi43
reidentification,A metric learning method for person re-identification
User: holyhao
reidentification,Repository for 2019 CVPR AI City Challenge Track 2 from IPL@UW
Organization: ipl-uw
reidentification,UAV Tracking for Smart Cities
User: jedirhymetrix
reidentification,TOMM2017 A Discriminatively Learned CNN Embedding for Person Re-identification
User: layumi
Home Page: https://dl.acm.org/citation.cfm?id=3159171
reidentification,TCSVT2018 Pedestrian Alignment Network for Large-scale Person Re-identification
User: layumi
Home Page: https://ieeexplore.ieee.org/document/8481710
reidentification,Benchmarks for Corruption Invariant Person Re-identification. [NeurIPS 2021 Track on Datasets and Benchmarks]
User: minghuichen43
reidentification,Spatial-Temporal Federated Learning for Lifelong Person Re-identification on Distributed Edges. (FedSTIL)
Organization: msnlab
Home Page: https://arxiv.org/abs/2207.11759
reidentification,We propose a global and local feature transformation method for PRID. The global feature transformation matrix projects the data from different cameras to a common space. We further hypothesize that a latent basis matrix can be learnt in this space which represents the shared structure between different cameras using matrix factorization.
User: neelabhro
reidentification,Serverless pipeline for Named Entity Recognition using AWS Comprehend and Masking or Deidentifying selected entities
User: nikhilkohli1
reidentification,Design and Implementation of a Multi-Target Multi-Camera Tracking Solution
User: nolanzzz
Home Page: https://wiser.cas.mcmaster.ca/?docs=interactive-perception-on-edge-devices#6-toc-title
reidentification,BoT-SORT + YOLOX implemented using only onnxruntime, Numpy and scipy, without cython_bbox and PyTorch. Fast human tracker. OSNet is not used.
User: pinto0309
reidentification,Official implementation of "Improved Person Re-Identification Based on Saliency and Semantic Parsing with Deep Neural Network Models" IMAVIS 2019
User: rquispec
reidentification,Official implementation of "Top Batch DropBlock for Person Re-Identification" ICPR 2020
User: rquispec
reidentification,Vehicle Re-Identification (ReID) dataset contains over 55,000 images for training and validation of the vehicle re-identification model
Organization: sekilab
reidentification,[NeurIPS 2021] TransMatcher: Deep Image Matching Through Transformers for Generalizable Person Re-identification
User: shengcailiao
Home Page: https://arxiv.org/abs/2105.14432
reidentification,Reidentification project of the Deep Learning university course
User: simonebarattin
reidentification,Fast, Simple and Easy to configure Re-Identification Pipeline in PyTorch
User: sithu31296
reidentification,Real-time ReID Tracking w/. Lite but Strong Feature Extractor & GAN
User: superbtum
reidentification,Megvii workshop in large-scale network reimplementation and re-evaluation, Nov. 2021
User: superbtum
reidentification,Realtime Person Re-Identification using Kafka, Spark and Deep Learning
User: tannd-ds
reidentification,Use ReID to model the appearance of the pedestrians and build a tracker based on Neural Message Passing (GNN).
User: tgoldc
reidentification, A modular end-to-end tracking framework for research and development
Organization: trackinglaboratory
Home Page: https://trackinglaboratory.github.io/tracklab/
reidentification,Incremental Generative Occlusion Adversarial Suppression Network for Person ReID (IEEE T-IP 2021)
Organization: vill-lab
reidentification,Multiple cameras recognition of prolonged interactions
User: vinnik-dmitry07
reidentification,
User: virajmavani
reidentification,A strong baseline for body part-based person re-identification (check out our WACV23 paper)
User: vlsomers
reidentification,Imlementation of tree search algoritm for best cosine similarity
User: vtimofeev01
reidentification,DSTA BrainHack Today-I-Learned AI 2023
User: w6wm9m
reidentification,A New Strong and Simple Baseline Method for VI-ReID (Bridging the Gap: Multi-level Cross-modality Joint Alignment for Visible-infrared Person Re-identification)
User: workingcoder
reidentification,In this assignment, we explored the use of neural networks to solve two common computer vision tasks using the PyTorch framework. We had given a video-surveillance dataset containing images of multiple persons each of which was captured multiple times by different cameras along with a set of annotations that specify attributes of each person such as age, gender and clothing.
User: zizzu94
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