https://github.com/cmf3673/spotti
Simple Online and Realtime Tracking with a Deep Association Metric
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/cocopambag/ResNet
https://github.com/code-implementation1/Code1/tree/main/densenet
https://github.com/code-implementation1/Code2/tree/main/AlignedReID
AlignedReID: Surpassing Human-Level Performance in Person Re-Identification
https://github.com/code-implementation1/Code3/tree/main/FaceAttribute
https://github.com/code-implementation1/Code5/tree/main/MGN
Learning Discriminative Features with Multiple Granularities for Person Re-Identification
https://github.com/code-implementation1/Code5/tree/main/MVD
Farewell to Mutual Information: Variational Distillation for Cross-Modal Person Re-Identification
https://github.com/code-implementation1/Code5/tree/main/lresnet100e_ir
https://github.com/code-implementation1/Code6/tree/main/PAMTRI
https://github.com/code-implementation1/Code6/tree/main/osnet
https://github.com/code-implementation1/Code6/tree/main/pcb_rpp
Beyond Part Models: Person Retrieval with Refined Part Pooling (and a Strong Convolutional Baseline)
https://github.com/code-implementation1/Code7/tree/main/resnetv2
https://github.com/code-implementation1/Code8/tree/main/simclr
A Simple Framework for Contrastive Learning of Visual Representations
https://github.com/cornell-zhang/allo-pldi24-artifact
https://github.com/cpn/ShuffledVideoSorter
https://github.com/criteo-research/pytorch-ada
https://github.com/ctuning/ck-mlperf
https://github.com/curryyuan/x-trans2cap
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
https://github.com/cvlab-yonsei/LbA
Learning by Aligning: Visible-Infrared Person Re-identification using Cross-Modal Correspondences
https://github.com/cyrilminaeff/MobileNet
https://github.com/cyrilvallez/image-manipulation-detection
A Simple Framework for Contrastive Learning of Visual Representations
https://github.com/d-li14/mobilenetv2.pytorch
https://github.com/daizuozhuo/batch-dropblock-network
Batch DropBlock Network for Person Re-identification and Beyond
https://github.com/daizuozhuo/batch-feature-erasing-network
Batch DropBlock Network for Person Re-identification and Beyond
https://github.com/damo-cv/TransReID-SSL
Person Transfer GAN to Bridge Domain Gap for Person Re-Identification
https://github.com/danielamassiceti/CCA-visualdialogue
https://github.com/danielgordon10/vince
https://github.com/danielparada1/RL_SpaceInvaders
https://github.com/danielzgsilva/MOT
A Simple Framework for Contrastive Learning of Visual Representations
https://github.com/darrishabh/coviprox
https://github.com/datoboat/Vehicle-Detection
https://github.com/davidczy/supcon_gamma
A Simple Framework for Contrastive Learning of Visual Representations
https://github.com/dead-mazai/avia-missing-airplanes
https://github.com/deep-learning-algorithm/LightWeightCNN
ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices
https://github.com/deepmind/dm-haiku
https://github.com/deepmodeling/deepmd-kit
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.