Alternatives and similar repositories for OpenPAR

Users that are interested in OpenPAR are comparing it to the libraries listed below

• tinyvision / SOLIDER-REID
  ☆79Updated last year
• SDret / Pedestrian-Attribute-Recognition-as-Label-balanced-Multi-label-Learning
  Official pytorch implementation of the ICML2024 main conference paper: Pedestrian Attribute Recognition as Label-balanced Multi-label Lea…
  ☆13Updated 11 months ago
• hwz-zju / Instruct-ReID
  A General-purpose Person Re-identification Task with Instructions
  ☆158Updated last year
• valencebond / Rethinking_of_PAR
  Pytorch Pedestrian Attribute Recognition: A strong PyTorch baseline for pedestrian attribute recognition and multi-label classification.
  ☆194Updated 2 years ago
• Event-AHU / VTF_PAR
  [CVPR-2023 Workshop@NFVLR] Official PyTorch implementation of Learning CLIP Guided Visual-Text Fusion Transformer for Video-based Pedestr…
  ☆28Updated 3 months ago
• chenjingong / DN-ReID
  [CVPR2024]Day-Night Cross-domain Vehicle Re-identification
  ☆40Updated 7 months ago
• Syliz517 / CLIP-ReID
  Official implementation for "CLIP-ReID: Exploiting Vision-Language Model for Image Re-identification without Concrete Text Labels" (AAAI …
  ☆375Updated last year
• VlSomers / keypoint_promptable_reidentification
  [ECCV24] Keypoint Promptable Re-Identification: SOTA ReID method robust to occlusions and multi-person ambiguity
  ☆141Updated last week
• AsuradaYuci / TF-CLIP
  TF-CLIP: Learning Text-Free CLIP for Video-Based Person Re-identification (AAAI2024)
  ☆50Updated last year
• hustvl / PersonViT
  PersonViT: Large-scale Self-supervised Vision Transformer for Person Re-Identification
  ☆27Updated 2 weeks ago
• yuanc3 / Pose2ID
  [CVPR 2025] Official repository for "From Poses to Identity: Training-Free Person Re-Identification via Feature Centralization"
  ☆81Updated this week
• vimar-gu / MSINet
  [CVPR2023] Twins Contrastive Search of Multi-Scale Interaction for Object Re-Identification
  ☆77Updated last year
• damo-cv / TransReID-SSL
  Self-Supervised Pre-Training for Transformer-Based Person Re-Identification
  ☆190Updated 3 years ago
• bar371 / GEFF
  Official implementation of the paper GEFF: Improving Any Clothes-Changing Person ReID Model using Gallery Enrichment with Face Features.
  ☆67Updated last year
• Shuyu-XJTU / APTM
  The official code of "Towards Unified Text-based Person Retrieval: A Large-scale Multi-Attribute and Language Search Benchmark"
  ☆159Updated 10 months ago
• videturfortuna / vehicle_reid_itsc2023
  ☆53Updated 10 months ago
• tinyvision / SOLIDER-PersonAttributeRecognition
  ☆28Updated 2 years ago
• AaronCIH / APGCC
  ECCV24 - Improving Point-based Crowd Counting and Localization Based on Auxiliary Point Guidance
  ☆80Updated 10 months ago
• Astaxanthin / AdaSP
  [CVPR 2023] Adaptive Sparse Pairwise Loss for Object Re-Identification
  ☆58Updated last year
• CASIA-IVA-Lab / PASS-reID
  [ECCV2022] PASS: Part-Aware Self-Supervised Pre-Training for Person Re-Identification
  ☆66Updated 2 years ago
• 924973292 / TOP-ReID
  【AAAI2024】TOP-ReID: Multi-spectral Object Re-Identification with Token Permutation
  ☆60Updated 8 months ago
• huynguyen792 / AG-ReID.v2
  ☆18Updated last year
• RikoLi / PCL-CLIP
  Code for "Prototypical Contrastive Learning-based CLIP Fine-tuning for Object Re-identification".
  ☆30Updated last year
• speckean / upar_challenge
  2024 Pedestrian Attribute Recognition and Attributed-based Person Retrieval Challenge at WACV
  ☆22Updated last year
• Yiming-M / CLIP-EBC
  The official implementation of the crowd counting model CLIP-EBC.
  ☆74Updated 11 months ago
• Zplusdragon / PLIP
  The official code of "PLIP: Language-Image Pre-training for Person Representation Learning"
  ☆117Updated 6 months ago
• ZhenyuX1E / PoseTrack
  ☆35Updated 11 months ago
• cxliu0 / PET
  [ICCV 2023] Point-Query Quadtree for Crowd Counting, Localization, and More
  ☆74Updated 2 months ago
• yjh0410 / PyTorch_YOWO
  ☆107Updated 2 years ago
• MCG-NJU / MixSort
  [ICCV2023] MixSort: The Customized Tracker in SportsMOT
  ☆83Updated last year