https://github.com/Anon6627/KD-UDA
Joint Progressive Knowledge Distillation and Unsupervised Domain Adaptation
Papers with Code 아카이브
Person Re-Identification
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 13
- 평가표
- 41
- 보존된 평가 기록
- 533
Person Re-Identification is a computer vision task in which the goal is to match a person's identity across different cameras or locations in a video or image sequence. It involves detecting and tracking a person and then using features such as appearance, body shape, and clothing to match their identity in different frames. The goal is to associate the same person across multiple non-overlapping camera views in a robust and efficient manner.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/ApexPredator1/DenseNet_tensorflow
https://github.com/Arcady1/Doodle-Recognition-Web
https://github.com/AsahiLiu/PointDetectron
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
https://github.com/Asthestarsfalll/DenseNet-MegEngine
https://github.com/AsuradaYuci/tripletreid-zhushi
https://github.com/AutomatedAI/deeplab_inference
https://github.com/AutomatedAI/deeplab_segmentation_example
https://github.com/AyushAniket/ResNET-and-various-normalizations
https://github.com/Baichenjia/Resnet
https://github.com/BalajiAI/SimCLR
A Simple Framework for Contrastive Learning of Visual Representations
https://github.com/Bao-Jiarong/ResNet
https://github.com/BarbaAlGhul/recommender-system-thesis
https://github.com/BonaventureR/person-reid
https://github.com/BoseungJeong/ASMR-ICCV-2021
Improving Person Re-identification by Attribute and Identity Learning
https://github.com/Brunogomes97/Imdb
https://github.com/Burf/ResNet-Tensorflow2
https://github.com/ByakuyaUncia/DenseNetUncia
https://github.com/CVxTz/face_age_gender
https://github.com/Calylyli/PCB_RPP
Beyond Part Models: Person Retrieval with Refined Part Pooling (and a Strong Convolutional Baseline)
https://github.com/CanshangD/ResNet_tensorflow2.0
https://github.com/CeLaMbDa/DenseNet_keras
https://github.com/CellSMB/EM-net
https://github.com/ChangweiZhang/Awesome-WindowsML-ONNX-Models
https://github.com/ChrisLee63/person_search
Joint Detection and Identification Feature Learning for Person Search
https://github.com/ChristmasStory/TransReID-main
Person Transfer GAN to Bridge Domain Gap for Person Re-Identification
https://github.com/Ciprian95/Licenta
https://github.com/Cjiangbpcs/cjiang.github.io
Simple Online and Realtime Tracking with a Deep Association Metric
https://github.com/Cjl-MedSeg/DenseNet
https://github.com/ClaudiaShu/SSL-FER
https://github.com/CocoSungMin/Gachon_SW_Colorization_Contest
https://github.com/CodeChefVIT/VOID
https://github.com/CoinCheung/SphereReID
https://github.com/CoinCheung/denseCL
https://github.com/Contamination-Classification/DenseNet
https://github.com/CorneliusHsiao/FoodMethodGAN
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.