chaoyuaw / incubator-mxnet

Related projects ⓘ

Alternatives and complementary repositories for incubator-mxnet

• XinshaoAmosWang / Deep-Metric-Embedding
  Papers and Codes about Deep Metric Learning/Deep Embedding
  ☆35Updated 4 years ago
• ronekko / deep_metric_learning
  Deep metric learning methods implemented in Chainer
  ☆158Updated 6 years ago
• wzzheng / HDML
  Implementation of Hardness-Aware Deep Metric Learning (CVPR 2019 Oral) in Tensorflow.
  ☆151Updated 4 years ago
• vadimkantorov / metriclearningbench
  Metric learning models in PyTorch with results on CUB2011, CARS196, Stanford Online Products
  ☆65Updated 2 years ago
• kunhe / FastAP-metric-learning
  Code for CVPR 2019 paper "Deep Metric Learning to Rank"
  ☆95Updated 3 years ago
• microsoft / snca.pytorch
  Improving Generalization via Scalable Neighborhood Component Analysis
  ☆136Updated last year
• dichotomies / proxy-nca
  PyTorch Implementation of `No Fuss Distance Metric Learning using Proxies`.
  ☆181Updated 4 years ago
• msight-tech / research-curriculumnet
  CurriculumNet: Weakly Supervised Learning from Large-Scale Web Images
  ☆159Updated 4 years ago
• jihunchoi / lsoftmax-pytorch
  PyTorch implementation Large-Margin Softmax (L-Softmax) loss
  ☆100Updated 6 years ago
• YirongMao / softmax_variants
  PyTorch code for softmax variants: center loss, cosface loss, large-margin gaussian mixture, COCOLoss, ring loss
  ☆252Updated 6 years ago
• D-X-Y / DXY-Projects
  Some projects from Xuanyi Dong.
  ☆90Updated 2 months ago
• WeitaoVan / L-GM-loss
  Implementation of our accepted CVPR 2018 paper "Rethinking Feature Distribution for Loss Functions in Image Classification"
  ☆172Updated 6 years ago
• littleredxh / DREML
  PyTorch implementation of Deep Randomized Ensembles for Metric Learning(ECCV2018)
  ☆67Updated 4 years ago
• suruoxi / DistanceWeightedSampling
  pytorch implementation of the ICCV paper Sampling Matters in Deep Embedding Learning
  ☆54Updated 5 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.
  ☆83Updated last year
• zhufengx / SRN_multilabel
  ☆144Updated 3 years ago
• CHENGY12 / DMML
  code for ICCV19 paper "Deep Meta Metric Learning"
  ☆109Updated 3 months ago
• kilianyp / triplet-reid-pytorch
  A pytorch implementation of the "In Defense of the Triplet Loss for Person Re-Identification" paper (https://arxiv.org/abs/1703.07737). I…
  ☆42Updated 6 years ago
• XinshaoAmosWang / Ranked-List-Loss-for-DML
  CVPR 2019: Ranked List Loss for Deep Metric Learning, with extension for TPAMI submission
  ☆64Updated 4 years ago
• abhimanyudubey / confusion
  Code for the ECCV 2018 paper "Pairwise Confusion for Fine-Grained Visual Classification"
  ☆201Updated 6 years ago
• luyongxi / deep_share
  Reference implementation of "Fully-Adaptive Feature Sharing in Multi-Task Networks with Applications in Person Attribute Classification"
  ☆41Updated 7 years ago
• PkuRainBow / HDC.caffe
  Complete Code for "Hard-Aware-Deeply-Cascaded-Embedding"
  ☆97Updated 7 years ago
• mop / bier
  Cleaned up reference implementation of BIER: Boosting Independent Embeddings Robustly.
  ☆39Updated 6 years ago
• dapengchen123 / crf_affinity
  Define the feature distance
  ☆46Updated 5 years ago
• mangye16 / Unsupervised_Embedding_Learning
  Code for Unsupervised Embedding Learning via Invariant and Spreading Instance Feature
  ☆208Updated 5 years ago
• joe-siyuan-qiao / FewShot-CVPR
  Few-Shot Image Recognition by Predicting Parameters from Activations
  ☆110Updated 6 years ago
• ChaofWang / Npair_loss_pytorch
  Improved Deep Metric Learning with Multi-class N-pair Loss Objective
  ☆89Updated last year
• idstcv / SoftTriple
  PyTorch Implementation for SoftTriple Loss
  ☆203Updated 3 months ago
• bhheo / AB_distillation
  Knowledge Transfer via Distillation of Activation Boundaries Formed by Hidden Neurons (AAAI 2019)
  ☆104Updated 5 years ago