Papers with Code 아카이브

Vehicle Re-Identification

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법 전체 데이터셋

하위 태스크: 0
평가표: 12
보존된 평가 기록: 68

Vehicle re-identification is the task of identifying the same vehicle across multiple cameras.

<span style="color:grey; opacity: 0.6">( Image credit: A Two-Stream Siamese Neural Network for Vehicle Re-Identification by Using Non-Overlapping Cameras )</span>

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/raoyongming/CAL

공식 코드

Counterfactual Attention Learning for Fine-Grained Visual Categorization and Re-identification

https://github.com/silverbulletmdc/PVEN

공식 코드

Parsing-based View-aware Embedding Network for Vehicle Re-Identification

https://github.com/superlollipop123/cross-directional-center-network-and-msvr310

공식 코드

Multi-spectral Vehicle Re-identification with Cross-directional Consistency Network and a High-quality Benchmark

https://github.com/syliz517/clip-reid

공식 코드

CLIP-ReID: Exploiting Vision-Language Model for Image Re-Identification without Concrete Text Labels

https://github.com/tsaishien-chen/SPAN

공식 코드

Orientation-aware Vehicle Re-identification with Semantics-guided Part Attention Network

https://github.com/videturfortuna/vehicle_reid_itsc2023

공식 코드

Strength in Diversity: Multi-Branch Representation Learning for Vehicle Re-Identification

https://github.com/vimar-gu/msinet

공식 코드

MSINet: Twins Contrastive Search of Multi-Scale Interaction for Object ReID

https://github.com/wangguangyuan/ClusterContrast

공식 코드

Cluster Contrast for Unsupervised Person Re-Identification

https://github.com/wangkai930418/dwopp_code

공식 코드

Positive Pair Distillation Considered Harmful: Continual Meta Metric Learning for Lifelong Object Re-Identification

https://github.com/yash0307/RecallatK_surrogate

공식 코드

Recall@k Surrogate Loss with Large Batches and Similarity Mixup

https://github.com/yash0307/recallatk

공식 코드

Recall@k Surrogate Loss with Large Batches and Similarity Mixup

https://github.com/yorkeyao/VehicleX

공식 코드

Simulating Content Consistent Vehicle Datasets with Attribute Descent

https://github.com/2023-MindSpore-1/ms-code-215/tree/main/PAMTRI

PAMTRI: Pose-Aware Multi-Task Learning for Vehicle Re-Identification Using Highly Randomized Synthetic Data

https://github.com/2023-MindSpore-1/ms-code-217/tree/main/VehicleNet

VehicleNet: Learning Robust Visual Representation for Vehicle Re-identification

https://github.com/2023-MindSpore-1/ms-code-7/tree/main/VehicleNet

VehicleNet: Learning Robust Feature Representation for Vehicle Re-identification

https://github.com/Andrew-Brown1/Smooth_AP

Smooth-AP: Smoothing the Path Towards Large-Scale Image Retrieval

https://github.com/ChristmasStory/TransReID-main

TransReID: Transformer-based Object Re-Identification

https://github.com/MS-Mind/MS-Code-06/tree/main/PAMTRI

PAMTRI: Pose-Aware Multi-Task Learning for Vehicle Re-Identification Using Highly Randomized Synthetic Data

https://github.com/Mind23-2/MindCode-5/tree/main/PAMTRI

PAMTRI: Pose-Aware Multi-Task Learning for Vehicle Re-Identification Using Highly Randomized Synthetic Data

https://github.com/MindSpore-paper-code-2/code2/tree/main/PAMTRI

PAMTRI: Pose-Aware Multi-Task Learning for Vehicle Re-Identification Using Highly Randomized Synthetic Data

https://github.com/MindSpore-paper-code-2/code3/tree/main/VehicleNet

VehicleNet: Learning Robust Feature Representation for Vehicle Re-identification

https://github.com/NVIDIAAICITYCHALLENGE/2020AICITY_Code_From_Top_Teams

Simulating Content Consistent Vehicle Datasets with Attribute Descent

https://github.com/Traffic-X/Open-TransMind

UFO: Unified Feature Optimization

https://github.com/Vill-Lab/2023-TIFS-DTIBA

FastReID: A Pytorch Toolbox for General Instance Re-identification

https://github.com/alibaba/cluster-contrast-reid

Cluster Contrast for Unsupervised Person Re-Identification

https://github.com/code-implementation1/Code6/tree/main/PAMTRI

PAMTRI: Pose-Aware Multi-Task Learning for Vehicle Re-Identification Using Highly Randomized Synthetic Data

https://github.com/damo-cv/transreid

TransReID: Transformer-based Object Re-Identification

https://github.com/darrishabh/coviprox

TransReID: Transformer-based Object Re-Identification

https://github.com/flytocc/PaddleClas

PP-ShiTu: A Practical Lightweight Image Recognition System

https://github.com/fredfung007/cityflow-nl

The 5th AI City Challenge

https://github.com/interestingzhuo/foodretreival

Smooth-AP: Smoothing the Path Towards Large-Scale Image Retrieval

https://github.com/kingcong/VehicleNet

VehicleNet: Learning Robust Feature Representation for Vehicle Re-identification

https://github.com/layumi/AICIty-reID-2020

VehicleNet: Learning Robust Feature Representation for Vehicle Re-identification

https://github.com/linghu8812/tensorrt_tracker

FastReID: A Pytorch Toolbox for General Instance Re-identification

https://github.com/michuanhaohao/reid-strong-baseline

Multi-Domain Learning and Identity Mining for Vehicle Re-Identification

https://github.com/mikel-brostrom/boxmot

CLIP-ReID: Exploiting Vision-Language Model for Image Re-Identification without Concrete Text Labels

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.