Alternatives and similar repositories for CMC_with_Image_Mixture

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

• pedro-morgado / nettailor
  Source code accompanying our CVPR 2019 paper: "NetTailor: Tuning the architecture, not just the weights."
  ☆53Updated 4 years ago
• princeton-vl / selfstudy
  Code for reproducing experiments in "How Useful is Self-Supervised Pretraining for Visual Tasks?"
  ☆60Updated last year
• VITA-Group / CV_LTH_Pre-training
  [CVPR 2021] "The Lottery Tickets Hypothesis for Supervised and Self-supervised Pre-training in Computer Vision Models" Tianlong Chen, Jon…
  ☆68Updated 2 years ago
• srebuffi / lsd-clusters
  ☆46Updated 2 years ago
• RAIVNLab / FLUID
  ☆24Updated 3 years ago
• cjrd / selfaugment
  Code for SelfAugment
  ☆27Updated 4 years ago
• eminorhan / ood-benchmarks
  Out-of-distribution generalization benchmarks for image recognition models
  ☆14Updated 5 years ago
• huangleiBuaa / IterNorm-pytorch
  This is the pytorch re-implementation of the IterNorm
  ☆41Updated 6 years ago
• jozhang97 / side-tuning
  sidetuning.berkeley.edu
  ☆71Updated 2 years ago
• hytseng0509 / DropGrad
  Regularizing Meta-Learning via Gradient Dropout
  ☆53Updated 5 years ago
• mancinimassimiliano / pytorch_wbn
  PyTorch implementation of Weighted Batch-Normalization layers
  ☆37Updated 5 years ago
• yueatsprograms / uda_release
  Unsupervised Domain Adaptation through Self-Supervision
  ☆79Updated 3 years ago
• Confusezius / CVPR2020_PADS
  (CVPR 2020) This repo contains code for "PADS: Policy-Adapted Sampling for Visual Similarity Learning", which proposes learnable triplet …
  ☆62Updated 5 years ago
• jramapuram / BYOL
  Bootstrap Your Own Latent (BYOL) pytorch implementation using DistributedDataParallel.
  ☆28Updated 2 years ago
• VITA-Group / Adv-SS-Pretraining
  [CVPR 2020] Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning
  ☆85Updated 3 years ago
• hrayrhar / limit-label-memorization
  Improving generalization by controlling label-noise information in neural network weights.
  ☆40Updated 4 years ago
• UMBCvision / CompRess
  Compressing Representations for Self-Supervised Learning
  ☆78Updated 4 years ago
• jh-jeong / selective-convolution
  Code for the paper "Training CNNs with Selective Allocation of Channels" (ICML 2019)
  ☆25Updated 6 years ago
• GT-RIPL / DomainGeneralization-Stylization
  PyTorch code for: Frustratingly Simple Domain Generalization via Image Stylization
  ☆23Updated 5 years ago
• facebookresearch / unnas
  Code for "Are labels necessary for neural architecture search"
  ☆92Updated last year
• yuhuixu1993 / BNET
  Batch Normalization with Enhanced Linear Transformation
  ☆53Updated last year
• caiqi / Joint-Contrastive-Learning
  ☆42Updated 4 years ago
• bermanmaxim / AOWS
  Code repositoy for "AOWS: Adaptive and optimal network width search with latency constraints", CVPR 2020
  ☆36Updated 5 years ago
• yukimasano / linear-probes
  Evaluating AlexNet features at various depths
  ☆40Updated 4 years ago
• EkdeepSLubana / flowandprune
  Codebase for the paper "A Gradient Flow Framework for Analyzing Network Pruning"
  ☆21Updated 4 years ago
• ashaw596 / meta_architecture_search
  ☆21Updated 5 years ago
• bigaidream-projects / role-kd
  Role-Wise Data Augmentation for Knowledge Distillation
  ☆19Updated 2 years ago
• szq0214 / Un-Mix
  Un-Mix: Rethinking Image Mixtures for Unsupervised Visual Representation Learning.
  ☆151Updated 3 years ago
• jwyang / C3Net.pytorch
  Pytorch code for our NeurIPS 2019 paper "Cross-channel Communication Networks"
  ☆41Updated 5 years ago
• bethgelab / game-of-noise
  Trained model weights, training and evaluation code from the paper "A simple way to make neural networks robust against diverse image cor…
  ☆61Updated 2 years ago