Alternatives and similar repositories for NUS-WIDE-downloader:

Users that are interested in NUS-WIDE-downloader are comparing it to the libraries listed below

• Flowerfan / Open-Reid
  Self-Paced Multi-view Co-training for person re-id experiment
  ☆30Updated 3 years ago
• liulu112601 / Gated-Propagation-Net
  NeurIPS 2019 : Learning to Propagate for Graph Meta-Learning
  ☆36Updated 5 years ago
• ricvolpi / domain-shift-robustness
  Code for the paper "Addressing Model Vulnerability to Distributional Shifts over Image Transformation Sets", ICCV 2019
  ☆27Updated 4 years ago
• aviveise / 2WayNet
  ☆15Updated 7 years ago
• kuanghuei / clean-net
  Tensorflow source code for "CleanNet: Transfer Learning for Scalable Image Classifier Training with Label Noise" (CVPR 2018)
  ☆88Updated 6 years ago
• ColumbiaDVMM / Supervised-Hashing-with-Kernels
  ☆9Updated 8 years ago
• yanbeic / semi-memory
  Tensorflow Implementation on Paper [ECCV2018]Semi-Supervised Deep Learning with Memory
  ☆47Updated 5 years ago
• ChaofWang / L-GM_loss_pytorch
  Rethinking Feature Distribution for Loss Functions in Image Classification
  ☆40Updated last year
• corenel / pytorch-atda
  A PyTorch implementation for Asymmetric Tri-training for Unsupervised Domain Adaptation
  ☆44Updated 7 years ago
• pujols / zero-shot-learning
  ☆65Updated 6 years ago
• mancinimassimiliano / latent_domains_DA
  Official Caffe implementation of Boosting Domain Adaptation by Discovering Latent Domains.
  ☆23Updated 4 years ago
• zjy526223908 / BTDA
  implement for paper Rethinking Domain Adaptation Blending target Domain Adaptation by Adversarial Meta Adaptation Network
  ☆38Updated 5 years ago
• PatrickZH / A-Large-scale-Attribute-Dataset-for-Zero-shot-Learning
  The download link for the dataset LAD.
  ☆40Updated 5 years ago
• yogeshbalaji / Meta-Learning-Domain-Generalization
  ☆29Updated 6 years ago
• zihangm / RAL_GNN
  ☆20Updated 6 years ago
• ducksoup / autodial
  AutoDIAL Caffe Implementation
  ☆27Updated 7 years ago
• xinmei9322 / SNTG
  ☆44Updated 6 years ago
• kylehkhsu / cactus-protonets
  Code for Unsupervised Learning via Meta-Learning.
  ☆65Updated 4 years ago
• Sha-Lab / aCASTLE
  The code repository for "Learning Classifier Synthesis for Generalized Few-shot Learning"
  ☆22Updated 3 years ago
• chenpf1025 / noisy_label_understanding_utilizing
  ICML 2019: Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels
  ☆90Updated 4 years ago
• mancinimassimiliano / adagraph
  PyTorch implementation of AdaGraph: Unifying Predictive and Continuous Domain Adaptation through Graphs
  ☆24Updated 2 years ago
• brjathu / RPSnet
  Official Implementation of "Random Path Selection for Incremental Learning" paper. NeurIPS 2019
  ☆53Updated 2 years ago
• YU1ut / JointOptimization
  Code for 'Joint Optimization Framework for Learning with Noisy Labels'
  ☆38Updated 6 years ago
• justcallmewilliam / iccv19-silco
  SILCO: Show a Few Images, Localize the Common Object(ICCV2019)
  ☆17Updated 5 years ago
• AhmedAyad89 / Consitent-Prototypical-Networks-Semi-Supervised-Few-Shot-Learning
  ☆19Updated 5 years ago
• zqs1022 / explanatoryGraph
  Interpreting CNN Knowledge via an Explanatory Graph
  ☆69Updated 4 years ago
• bhanML / Masking
  NeurIPS'18: Masking: A New Perspective of Noisy Supervision
  ☆54Updated 6 years ago
• littleredxh / HardNegative
  ☆51Updated 3 years ago
• Sunarker / Safeguarded-Dynamic-Label-Regression-for-Noisy-Supervision
  ☆9Updated last year
• kunhe / TALR
  Code for CVPR 2018 paper "Hashing as Tie-Aware Learning to Rank"
  ☆45Updated 3 years ago