Alternatives and similar repositories for newt

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

• cjrd / self-supervised-pretraining
  Repository providing a wide range of self-supervised pretrained models for computer vision tasks.
  ☆61Updated 4 years ago
• fiveai / making-better-mistakes
  ☆66Updated 3 years ago
• visipedia / inat_loc
  The iNaturalist Localization Dataset from "On Label Granularity and Object Localization" (ECCV 2022).
  ☆14Updated last year
• linusericsson / ssl-transfer
  Official code for the CVPR 2021 paper "How Well Do Self-Supervised Models Transfer?"
  ☆183Updated last year
• UMBCvision / MSF
  Official code for "Mean Shift for Self-Supervised Learning"
  ☆57Updated 3 years ago
• Tete-Xiao / ReSim
  PyTorch Implementation of Region Similarity Representation Learning (ReSim)
  ☆89Updated 3 years ago
• princeton-vl / selfstudy
  Code for reproducing experiments in "How Useful is Self-Supervised Pretraining for Visual Tasks?"
  ☆60Updated 9 months ago
• cvl-umass / semi-inat-2021
  Semi-Supervised Fine-Grained Recognition Challenge at FGVC8
  ☆26Updated 3 years ago
• GT-RIPL / UNO-IC
  ☆31Updated 4 years ago
• KMnP / nn-revisit
  Rethinking Nearest Neighbors for Visual Classification
  ☆31Updated 3 years ago
• xinw1012 / cycle-confusion
  Code and models for ICCV2021 paper "Robust Object Detection via Instance-Level Temporal Cycle Confusion".
  ☆77Updated last year
• wvangansbeke / Revisiting-Contrastive-SSL
  Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations. [NeurIPS 2021]
  ☆89Updated 3 years ago
• tydpan / NorCal
  ☆31Updated 3 years ago
• SupetZYK / DynamicMetricLearning
  ☆41Updated 4 years ago
• GT-RIPL / FeatMatch
  PyTorch code for the paper: "FeatMatch: Feature-Based Augmentation for Semi-Supervised Learning"
  ☆50Updated 4 years ago
• VSainteuf / metric-guided-prototypes-pytorch
  PyTorch implementation of Metric-Guided Prototype Learning for hierarchical classification.
  ☆26Updated 3 years ago
• cvl-umass / semi-inat-2020
  Semi-Supervised Fine-Grained Recognition Challenge at FGVC7
  ☆30Updated 2 years ago
• subhc / clever
  The Curious Layperson: Fine-Grained Image Recognition without Expert Labels (BMVC 2021 best student paper)
  ☆23Updated 2 years ago
• PatrickZH / A-Large-scale-Attribute-Dataset-for-Zero-shot-Learning
  The download link for the dataset LAD.
  ☆40Updated 5 years ago
• ViLab-UCSD / GeoNet
  Repository for accessing and training using GeoNet dataset, published at CVPR 2023.
  ☆9Updated 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
• naver / cog
  ImageNet-CoG is a benchmark for concept generalization. It provides a full evaluation framework for pre-trained visual representations wh…
  ☆25Updated 3 years ago
• songweige / Contrastive-Learning-with-Non-Semantic-Negatives
  Robust Contrastive Learning Using Negative Samples with Diminished Semantics (NeurIPS 2021)
  ☆39Updated 3 years ago
• cvl-umass / ssl-evaluation
  Evaluation of semi-supervised learning on challenging datasets
  ☆36Updated 3 years ago
• cjrd / selfaugment
  Code for SelfAugment
  ☆27Updated 4 years ago
• allenai / ViRB
  Visual Representation Learning Benchmark for Self-Supervised Models
  ☆36Updated last year
• jvlmdr / hiercls
  ☆22Updated 2 years ago
• searobbersduck / MoCo_v3_pytorch
  a pytorch implementation for MoCo V3
  ☆32Updated 4 years ago
• alinlab / object-aware-contrastive
  Object-aware Contrastive Learning for Debiased Scene Representation (NeurIPS 2021)
  ☆45Updated 3 years ago
• valeoai / obsnet
  ☆34Updated 2 years ago