Alternatives and similar repositories for DCN

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

• Clarifai / few-shot-ctm
  Few shot learning
  ☆155Updated 4 years ago
• gidariss / wDAE_GNN_FewShot
  Generating Classification Weights with GNN Denoising Autoencoders for Few-Shot Learning
  ☆158Updated 6 years ago
• Mid-Push / Moving-Semantic-Transfer-Network
  Tensorflow codes for ICML2018, Learning Semantic Representations for Unsupervised Domain Adaptation
  ☆110Updated 7 years ago
• junbaoZHUO / UODTN
  Codes for UODTN; Open domain recognition; CVPR19
  ☆45Updated 4 years ago
• jihanyang / AFN
  (ICCV'19 Best Paper Nomination) Larger Norm More Transferable: An Adaptive Feature Norm Approach for Unsupervised Domain Adaptation
  ☆187Updated 6 years ago
• stevehuanghe / GDAN
  Generative Dual Adversarial Network for Generalized Zero-shot Learning
  ☆54Updated 6 years ago
• maple-research-lab / AET
  Auto-Encoding Transformations (AETv1), CVPR 2019
  ☆109Updated 6 years ago
• k-han / DTC
  "Learning to Discover Novel Visual Categories via Deep Transfer Clustering" by Kai Han, Andrea Vedaldi, Andrew Zisserman (ICCV 2019)
  ☆168Updated 3 years ago
• cuishuhao / GVB
  Code of Gradually Vanishing Bridge for Adversarial Domain Adaptation (CVPR2020)
  ☆80Updated 2 years ago
• mboboGO / DVBE
  ☆38Updated 4 years ago
• Raymond-sci / AND
  Official Pytorch Implementation for ICML'19 paper: Unsupervised Deep Learning by Neighbourhood Discovery
  ☆156Updated 6 years ago
• xinmei9322 / SNTG
  ☆43Updated 7 years ago
• LiJunnan1992 / MLNT
  Meta-Learning based Noise-Tolerant Training
  ☆124Updated 5 years ago
• csyanbin / TPN
  Code for ICLR19 paper: Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning.
  ☆244Updated 6 years ago
• likesiwell / LGM-Net
  Tensorflow code for ICML 2019 paper: LGM-Net: Learning to Generate Matching Networks for Few-Shot Learning
  ☆84Updated 5 years ago
• zhmiao / OpenCompoundDomainAdaptation-OCDA
  Pytorch implementation for "Open Compound Domain Adaptation" (CVPR 2020 ORAL)
  ☆140Updated 4 years ago
• VisionLearningGroup / DAL
  Domain agnostic learning with disentangled representations
  ☆147Updated 5 years ago
• leokarlin / LaSO
  LaSO: Label-Set Operations networks for multi-label few-shot learning - official implementation
  ☆89Updated last year
• valeoai / BF3S
  Boosting Few-Shot Visual Learning with Self-Supervision
  ☆138Updated 5 years ago
• chrysts / dsn_fewshot
  ☆90Updated 3 years ago
• zjuchenlong / sp-aen.cvpr18
  Zero-Shot Visual Recognition using Semantic-Preserving Adversarial Embedding Networks
  ☆48Updated 6 years ago
• raywzy / VSC
  Transductive Zero-Shot Learning with Visual Structure Constraint, in NeurIPS 2019
  ☆43Updated 6 years ago
• yulu0724 / SDC-IL
  Semantic Drift Compensation for Class-Incremental Learning (CVPR2020)
  ☆119Updated 5 years ago
• njulus / REFILLED
  This is the code of CVPR'20 paper "Distilling Cross-Task Knowledge via Relationship Matching".
  ☆49Updated 4 years ago
• thuml / Batch-Spectral-Penalization
  Code release for Transferability vs. Discriminability: Batch Spectral Penalization for Adversarial Domain Adaptation (ICML 2019)
  ☆92Updated 6 years ago
• VisionLearningGroup / visda-2019-public
  ☆57Updated 2 years ago
• YU1ut / JointOptimization
  Code for 'Joint Optimization Framework for Learning with Noisy Labels'
  ☆38Updated 7 years ago
• apple2373 / MetaIRNet
  Meta-Reinforced Synthetic Data for One-Shot Fine-Grained Visual Recognition (NeurIPS 2019 & PAMI 2022)
  ☆31Updated last year
• ServiceNow / am3
  Adaptive Cross-Modal Few-shot learning OSS code. This is a ServiceNow Research project that was started at Element AI.
  ☆65Updated 3 years ago
• zjy526223908 / BTDA
  implement for paper Rethinking Domain Adaptation Blending target Domain Adaptation by Adversarial Meta Adaptation Network
  ☆38Updated 6 years ago