Alternatives and similar repositories for dcnet

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

• PanPapag / DAMNets
  Domain-Adaptive Multibranch Networks
  ☆14Updated 5 years ago
• junbaoZHUO / UODTN
  Codes for UODTN; Open domain recognition; CVPR19
  ☆45Updated 4 years ago
• szkocot / Adapting-Auxiliary-Losses-Using-Gradient-Similarity
  Implementation "Adapting Auxiliary Losses Using Gradient Similarity" article
  ☆33Updated 6 years ago
• mancinimassimiliano / adagraph
  PyTorch implementation of AdaGraph: Unifying Predictive and Continuous Domain Adaptation through Graphs
  ☆23Updated 3 years ago
• k-r-allen / imp
  infinite mixture prototypes for few-shot learning
  ☆51Updated 3 years ago
• mancinimassimiliano / latent_domains_DA
  Official Caffe implementation of Boosting Domain Adaptation by Discovering Latent Domains.
  ☆23Updated 5 years ago
• wanglichenxj / Dual-Relation-Semi-supervised-Multi-label-Learning
  ☆23Updated 5 years ago
• nv-research-israel / causal_comp
  This repository hosts the dataset and source code for "A causal view of compositional zero-shot recognition". Yuval Atzmon, Felix Kreuk, …
  ☆27Updated 4 years ago
• passalis / pkth
  Implementation of the Heterogeneous Knowledge Distillation using Information Flow Modeling method
  ☆25Updated 5 years ago
• liulu112601 / Gated-Propagation-Net
  NeurIPS 2019 : Learning to Propagate for Graph Meta-Learning
  ☆36Updated 6 years ago
• hbdat / cvpr20_IMCL
  Interactive Multi-Label CNN Learning with Partial Labels @ CVPR20
  ☆22Updated 4 years ago
• caiqi / Joint-Contrastive-Learning
  ☆42Updated 5 years ago
• cospDiDi / REFILLED
  This is the code of CVPR'20 paper "Distilling Cross-Task Knowledge via Relationship Matching".
  ☆49Updated 5 years ago
• cadurosar / graph_kd
  Graph Knowledge Distillation
  ☆13Updated 5 years ago
• yufanLIU / IRG
  Source code for 'Knowledge Distillation via Instance Relationship Graph'
  ☆30Updated 6 years ago
• ashaw596 / meta_architecture_search
  ☆21Updated 6 years ago
• yoonholee / MT-net
  Code accompanying the ICML-2018 paper "Gradient-Based Meta-Learning with Learned Layerwise Metric and Subspace"
  ☆38Updated 7 years ago
• yaoyao-liu / e3bm
  PyTorch implementation of "An Ensemble of Epoch-wise Empirical Bayes for Few-shot Learning" (ECCV 2020)
  ☆48Updated 2 years ago
• bhanML / SIGUA
  ICML'20: SIGUA: Forgetting May Make Learning with Noisy Labels More Robust
  ☆17Updated 5 years ago
• peiwang062 / towards-realistic-predictors
  pytorch implementation for paper, towards realistic predictors
  ☆17Updated 7 years ago
• Sha-Lab / aCASTLE
  The code repository for "Learning Classifier Synthesis for Generalized Few-shot Learning"
  ☆22Updated 4 years ago
• Simon4Yan / Accuracy-estimation-with-self-supervision
  [ICML'21] Estimate the accuracy of the classifier in various environments through self-supervision
  ☆27Updated 4 years ago
• DonkeyShot21 / batch-level-distillation
  This is the official repository for Batch Level Distillation (BLD)
  ☆15Updated 5 years ago
• haebeom-lee / l2b
  Tensorflow implementation of "Learning to Balance: Bayesian Meta-learning for Imbalanced and Out-of-distribution Tasks" (ICLR 2020 oral)
  ☆101Updated 5 years ago
• guanyingc / TOM-Net_Poster_LaTex
  LaTex Poster for TOM-Net (CVPR 2018)
  ☆47Updated 7 years ago
• k-han / DTC
  "Learning to Discover Novel Visual Categories via Deep Transfer Clustering" by Kai Han, Andrea Vedaldi, Andrew Zisserman (ICCV 2019)
  ☆170Updated 3 years ago
• thuml / Transferable-Query-Selection
  Code Release for "Transferable Query Selection for Active Domain Adaptation"(CVPR2021)
  ☆25Updated 3 years ago
• istarjun / TapNet
  Chainer Implementation of TapNet: Neural Network Augmented with Task-Adaptive Projection for Few-Shot Learning
  ☆56Updated 6 years ago
• zcrwind / tgg-pytorch
  The source code of our ACM MM 2019 paper "TGG: Transferable Graph Generation for Zero-shot and Few-shot Learning".
  ☆25Updated 5 years ago
• xinmei9322 / SNTG
  ☆43Updated 7 years ago