Alternatives and similar repositories for imprinted-weights

Users that are interested in imprinted-weights are comparing it to the libraries listed below

• D-X-Y / DXY-Projects
  Some projects from Xuanyi Dong.
  ☆90Updated 5 months ago
• tankche1 / IDeMe-Net
  A PyTorch implementation of "Image Deformation Meta-Networks for One-Shot Learning"(CVPR 2019 Oral).
  ☆49Updated 5 years ago
• joe-siyuan-qiao / FewShot-CVPR
  Few-Shot Image Recognition by Predicting Parameters from Activations
  ☆111Updated 7 years ago
• pierre-jacob / ICCV2019-Horde
  Code repository for our paper entilted "Metric Learning with HORDE: High-Order Regularizer for Deep Embeddings" accepted at ICCV 2019.
  ☆84Updated 2 years ago
• yulu0724 / EmbeddingDistillation
  Learning Metrics from Teachers: Compact Networks for Image Embedding (CVPR19)
  ☆76Updated 6 years ago
• daviswer / fewshotlocal
  Few-Shot Learning with Localization in Realistic Settings
  ☆48Updated 4 months ago
• aws-samples / d-SNE
  Implementation of our proposed algorithm in domain adaptation for image classification
  ☆67Updated 5 years ago
• tankche1 / Semantic-Feature-Augmentation-in-Few-shot-Learning
  Semantic Feature Augmentation in Few-shot Learning
  ☆87Updated 6 years ago
• kuanghuei / clean-net
  Tensorflow source code for "CleanNet: Transfer Learning for Scalable Image Classifier Training with Label Noise" (CVPR 2018)
  ☆88Updated 7 years ago
• Britefury / self-ensemble-visual-domain-adapt-photo
  Code repository for the VisDA-17 experiments in our paper 'Self-ensembling for Domain Adaptation'
  ☆74Updated 3 years ago
• yanbeic / semi-memory
  Tensorflow Implementation on Paper [ECCV2018]Semi-Supervised Deep Learning with Memory
  ☆47Updated 6 years ago
• microsoft / snca.pytorch
  Improving Generalization via Scalable Neighborhood Component Analysis
  ☆137Updated 2 years ago
• yueatsprograms / uda_release
  Unsupervised Domain Adaptation through Self-Supervision
  ☆79Updated 4 years ago
• ucbdrive / tafe-net
  Code for TAFE-Net: Task-Aware Feature Embeddings for Low Shot Learning (CVPR 2019)
  ☆56Updated 5 years ago
• qinenergy / adanet
  [ICCV 2019 oral] Code for Semi-Supervised Learning by Augmented Distribution Alignment
  ☆62Updated 3 years ago
• neuroailab / LocalAggregation
  Tensorflow implementation for "Local Aggregation for Unsupervised Learning of Visual Embeddings"
  ☆60Updated 4 years ago
• renmengye / inc-few-shot-attractor-public
  Code for Paper "Incremental Few-Shot Learning with Attention Attractor Networks"
  ☆121Updated 5 years ago
• kibok90 / cvpr2018-hnd
  CVPR 2018 Hierarchical Novelty Detection for Visual Object Recognition
  ☆39Updated 7 years ago
• dichotomies / proxy-nca
  PyTorch Implementation of `No Fuss Distance Metric Learning using Proxies`
  ☆184Updated 5 years ago
• Confusezius / ICCV2019_MIC
  (ICCV 2019) This repo contains code for "MIC: Mining Interclass Characteristics for Improved Metric Learning", which proposes an auxiliar…
  ☆63Updated 5 years ago
• maple-research-lab / AET
  Auto-Encoding Transformations (AETv1), CVPR 2019
  ☆109Updated 6 years ago
• zhmiao / OpenCompoundDomainAdaptation-OCDA
  Pytorch implementation for "Open Compound Domain Adaptation" (CVPR 2020 ORAL)
  ☆140Updated 4 years ago
• VisionLearningGroup / visda-2019-public
  ☆57Updated 2 years ago
• jeromerony / dml_cross_entropy
  Code for the paper "A unifying mutual information view of metric learning: cross-entropy vs. pairwise losses" (ECCV 2020 - Spotlight)
  ☆169Updated 3 years ago
• hysts / pytorch_shake_shake
  A PyTorch implementation of shake-shake
  ☆111Updated 5 years ago
• wzzheng / HDML
  Implementation of Hardness-Aware Deep Metric Learning (CVPR 2019 Oral) in Tensorflow.
  ☆150Updated 5 years ago
• rafafelixphd / frwgan-eccv18
  Code for model presented on our paper accepted on European Conference on Computer Vision 2018.
  ☆58Updated 6 years ago
• sundw2014 / DKS
  Deeply-supervised Knowledge Synergy (CVPR'2019)
  ☆67Updated 4 years ago
• xudonmao / VMT
  ☆19Updated 6 years ago
• Clarifai / few-shot-ctm
  Few shot learning
  ☆156Updated 4 years ago