Alternatives and similar repositories for sparse-imagenet-transfer:

Users that are interested in sparse-imagenet-transfer are comparing it to the libraries listed below

• katelyn98 / CorruptionRobustness
  We investigated corruption robustness across different architectures including Convolutional Neural Networks, Vision Transformers, and th…
  ☆16Updated 3 years ago
• shellysheynin / Locally-SAG-Transformer
  Official Pytorch implementation of the paper: "Locally Shifted Attention With Early Global Integration"
  ☆15Updated 3 years ago
• Kennethborup / self_distillation
  Self-Distillation with weighted ground-truth targets; ResNet and Kernel Ridge Regression
  ☆17Updated 3 years ago
• 07Agarg / HAF
  Code for the Paper Learning Hierarchy Aware Features for Reducing Mistake Severity, accepted in ECCV 2022
  ☆15Updated 2 years ago
• GenDisc / IVR
  Normalization Matters in Weakly Supervised Object Localization (ICCV 2021)
  ☆11Updated 3 years ago
• Confusezius / Characterizing_Generalization_in_DeepMetricLearning
  Implementation and Benchmark Splits to study Out-of-Distribution Generalization in Deep Metric Learning.
  ☆23Updated 3 years ago
• leekyungmoon / XDED
  Official PyTorch implementation of "Cross-Domain Ensemble Distillation for Domain Generalization" (ECCV 2022)
  ☆24Updated 3 months ago
• ananthu-aniraj / masking_strategies_bias_removal
  Masking Strategies for Background Bias Removal in Computer Vision Models (ICCVW OODCV 2023 paper)
  ☆14Updated 2 months ago
• dvirsamuel / DRAGON
  [WACV21] Code for our paper: Samuel, Atzmon and Chechik, "From Generalized zero-shot learning to long-tail with class descriptors"
  ☆28Updated 3 years ago
• Caoang327 / vis_det
  Code of "Visualizing and Understanding Object Detecor"
  ☆20Updated 3 years ago
• leaderj1001 / Bag-of-MLP
  Bag of MLP
  ☆20Updated 3 years ago
• NVlabs / HCL
  [CVPR'23 Highlight] Heterogeneous Continual Learning.
  ☆15Updated last year
• naver-ai / imagenet-annotation-tool
  ☆17Updated last year
• linusericsson / ssl-invariances
  Official code for the paper "Why Do Self-Supervised Models Transfer? Investigating the Impact of Invariance on Downstream Tasks".
  ☆16Updated 3 years ago
• JindongGu / SimDis
  A pytorch implementation of the ICCV2021 workshop paper SimDis: Simple Distillation Baselines for Improving Small Self-supervised Models
  ☆14Updated 3 years ago
• taki0112 / stylegan2-pytorch
  Pytorch implementation of StyleGAN2 in my style
  ☆11Updated last year
• sumitramalagi / Unseen-classes-at-a-later-time
  ☆13Updated 2 years ago
• FrancescoSaverioZuppichini / DropPath
  Implementing DropPath/StochasticDepth in PyTorch
  ☆16Updated 3 years ago
• juntang-zhuang / ACProp-Optimizer
  Implementation for ACProp ( Momentum centering and asynchronous update for adaptive gradient methdos, NeurIPS 2021)
  ☆15Updated 3 years ago
• samgregoost / Rethinking-CGANs
  ☆15Updated 3 years ago
• badripatro / efficient360
  ☆15Updated 2 years ago
• NVlabs / DICOD
  Official Pytorch implementation for Distilling Image Classifiers in Object detection (NeurIPS2021)
  ☆30Updated 3 years ago
• EdiBERT4ImageManipulation / EdiBERT
  ☆17Updated 2 years ago
• luminolx / ScaleNet
  ScaleNet: Searching for the Model to Scale (ECCV 2022)
  ☆12Updated 2 years ago
• tk1980 / tvMF
  t-vMF Similarity for Regularizing Intra-Class Feature Distribution
  ☆21Updated 3 years ago
• deeplearning-wisc / MOOD
  Code for CVPR2021 paper: MOOD: Multi-level Out-of-distribution Detection
  ☆38Updated last year
• amodas / PRIME-augmentations
  PRIME: A Few Primitives Can Boost Robustness to Common Corruptions
  ☆42Updated 2 years ago
• rwightman / imagenet-12k
  ImageNet-12k subset of ImageNet-21k (fall11)
  ☆21Updated last year
• sayakpaul / Training-BatchNorm-and-Only-BatchNorm
  Experiments with the ideas presented in https://arxiv.org/abs/2003.00152 by Frankle et al.
  ☆29Updated 4 years ago
• yulonghui / MOCA
  Official implementation of "Continual Learning by Modeling Intra-Class Variation" (MOCA). [TMLR 2023]
  ☆16Updated 2 years ago