Topic: market-1501 Goto Github
Some thing interesting about market-1501
Some thing interesting about market-1501
market-1501,Multi-Tracking Multi-Camera Person Re-Identification
User: hubert10
market-1501,:dress:3D Magic Mirror: Clothing Reconstruction from a Single Image via a Causal Perspective:dress: Single-View 3D Reconstruction
User: layumi
Home Page: https://arxiv.org/abs/2204.13096
market-1501,TNNLS'22 :statue_of_liberty: Parameter-Efficient Person Re-identification in the 3D Space :statue_of_liberty:
User: layumi
Home Page: https://arxiv.org/abs/2006.04569
market-1501,:bouncing_ball_person: Pytorch ReID: A tiny, friendly, strong pytorch implement of person re-id / vehicle re-id baseline. Tutorial 👉https://github.com/layumi/Person_reID_baseline_pytorch/tree/master/tutorial
User: layumi
Home Page: https://www.zdzheng.xyz
market-1501,:couple: Joint Discriminative and Generative Learning for Person Re-identification. CVPR'19 (Oral) :couple:
Organization: nvlabs
Home Page: https://www.zdzheng.xyz/publication/Joint-di2019
market-1501,Joint Disentangling and Adaptation for Cross-Domain Person Re-Identification. ECCV'20 (Oral)
Organization: nvlabs
market-1501,Multi-Object Tracking Using FCOS + DeepSORT
User: reshalfahsi
market-1501,person re-identification using deep learning
User: rtharungowda
market-1501,State-of-the-art model for person re-identification in Multi-camera Multi-Target Tracking. Benchmarked on Market-1501 and DukeMTMTC-reID datasets.
User: surajdonthi
market-1501,A strong implementation of PCB (Beyond Part Models), outperforming all existing implementations.
User: wangguanan
market-1501,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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