Imlementation of tree search algoritm for best cosine similarity
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Updated
May 23, 2022 - C++
Imlementation of tree search algoritm for best cosine similarity
UAV Tracking for Smart Cities
Vehicle Re-Identification (ReID) dataset contains over 55,000 images for training and validation of the vehicle re-identification model
AICUP 2024 Cross-camera Multiple-object tracking
Multiple cameras recognition of prolonged interactions
Use ReID to model the appearance of the pedestrians and build a tracker based on Neural Message Passing (GNN).
BoT-SORT + YOLOX implemented using only onnxruntime, Numpy and scipy, without cython_bbox and PyTorch. Fast human tracker. OSNet is not used.
Deep Fusion Feature Representation Learning with Hard Mining Center-Triplet Loss for Person Re-identification.(published on the IEEE TMM 2020)
Megvii workshop in large-scale network reimplementation and re-evaluation, Nov. 2021
DSTA BrainHack Today-I-Learned AI 2023
This data pipeline is built upon the AWS Cloud Infrastructure and uses Streamlit as a front-end for user input.
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)
Fast, Simple and Easy to configure Re-Identification Pipeline in PyTorch
Realtime Person Re-Identification using Kafka, Spark and Deep Learning
Real-time ReID Tracking w/. Lite but Strong Feature Extractor & GAN
A Discriminatively Learned CNN Embedding for Person Re-identification
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
Image and Video Re-ID Framework
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