Alternatives and similar repositories for PS-TTL

Users that are interested in PS-TTL are comparing it to the libraries listed below

• Hlings / AcroFOD
  (ECCV2022) The official PyTorch implementation of the "AcroFOD: An Adaptive Method for Cross-domain Few-shot Object Detection".
  ☆61Updated 6 months ago
• Bohao-Lee / PDC
  ☆15Updated 2 years ago
• gaobb / DCFS
  [NeurIPS 2022] Decoupling Classifier for Boosting Few-shot Object Detection and Instance Segmentation
  ☆42Updated last week
• XiaoxFeng / IENet
  Codes for Learning an Invariant and Equivariant Network for Weakly Supervised Object Detection
  ☆20Updated 2 years ago
• lxn96 / ICPE
  The offical code for paper "Breaking Immutable: Information-Coupled Prototype Elaboration for Few-Shot Object Detection"
  ☆37Updated 2 years ago
• Ze-Yang / Efficient-FSOD
  The official implementation of Efficient Few-Shot Object Detection via Knowledge Inheritance (TIP 2022)
  ☆33Updated last year
• h751410234 / DATR
  A strong DETR-based detector named Domain Adaptive detection TRansformer (DATR) for unsupervised domain adaptation in object detection.
  ☆36Updated 4 months ago
• RSer-XDU / G-FSDet
  ☆33Updated last year
• LiangSiyuan21 / OEOD_Survey
  ☆12Updated last year
• Hlings / AsyFOD
  (CVPR2023) The PyTorch implementation of the "AsyFOD: An Asymmetric Adaptation Paradigm for Few-Shot Domain Adaptive Object Detection".
  ☆40Updated 9 months ago
• Shengcao-Cao / CMT
  [CVPR 2023] CMT: Contrastive Mean Teacher for Domain Adaptive Object Detectors
  ☆45Updated last year
• zshanggu / HTRPN
  Init commit for HTRPN
  ☆25Updated 6 months ago
• Therock90421 / DA-Ada
  About Pytorch implementation of "DA-Ada: Learning Domain-Aware Adapter for Domain Adaptive Object Detection" (NeurIPS 2024)
  ☆14Updated 4 months ago
• kinredon / Harmonious-Teacher
  Official implementation of the CVPR 2023 paper "Harmonious Teacher for Cross-domain Object Detection"
  ☆34Updated last year
• binyisu / food
  HSIC-based Moving WeightAveraging for Few-Shot Open-Set Object Detection (ACM MM'23)
  ☆33Updated last year
• wangchen1801 / FPD
  Official code of the paper "Fine-Grained Prototypes Distillation for Few-Shot Object Detection (AAAI 2024)"
  ☆46Updated last year
• Therock90421 / DA-Pro
  Pytorch implementation of "Learning Domain-Aware Detection Head with Prompt Tuning" (NeurIPS 2023)
  ☆21Updated last year
• JulioZhao97 / EffTrans_Fsdet
  This is a repository for ACMMM22 paper "Exploring Effective Knowledge Transfer for Few-shot Object Detection"
  ☆15Updated 2 years ago
• VisionXLab / CastDet
  [ECCV'24] Code repo for "Toward Open Vocabulary Aerial Object Detection with CLIP-Activated Student-Teacher Learning"
  ☆49Updated 3 weeks ago
• Lans1ng / SFOD-RS
  [IGARSS 2024] Code for "CLIP-Guided Source-Free Object Detection in Aerial Images"
  ☆24Updated 6 months ago
• chunbolang / HPA
  Official PyTorch Implementation of Holistic Prototype Activation for Few-Shot Segmentation (TPAMI'22).
  ☆22Updated 2 years ago
• woody-panda / CD-FSOD
  ☆26Updated 2 years ago
• HamPerdredes / SOOD
  [CVPR 2023] SOOD: Towards Semi-Supervised Oriented Object Detection
  ☆55Updated 11 months ago
• JeremyZhao1998 / MRT-release
  Official implementation of paper: Masked Retraining Teacher-student Framework for domain adaptive object detection. (ICCV2023)
  ☆40Updated last year
• Ybowei / UNP
  The code for paper "Understanding Negative Proposals in Generic Few-Shot Object Detection"
  ☆14Updated last year
• Phoenix-V / DiGeo
  Official Repo of DiGeo for Generalized Few-Shot Object Detection(CVPR'23)
  ☆51Updated 2 years ago
• ShichengMiao16 / MADet
  Mutual-Assistance Learning for Object Detection
  ☆17Updated last year
• canoe-Z / PETDet
  [TGRS2023] Official implement for PETDet.
  ☆50Updated 4 months ago
• alanzty / KCR-Official
  This is official implementation of KCR.
  ☆20Updated last year
• eastoc / Unsupervised_Domain_Adaptation_Object_Detection_Implementation
  This is unsupervised domaina adaptation object detection based on adversarial learning Implementation via mmdetection framework
  ☆14Updated last year