noameshed / novelty-detection

Related projects ⓘ

Alternatives and complementary repositories for novelty-detection

• MadryLab / backgrounds_challenge
  ☆138Updated 4 years ago
• UMBCvision / CompRess
  Compressing Representations for Self-Supervised Learning
  ☆78Updated 3 years ago
• GT-RIPL / DomainGeneralization-Stylization
  PyTorch code for: Frustratingly Simple Domain Generalization via Image Stylization
  ☆24Updated 4 years ago
• pedro-morgado / nettailor
  Source code accompanying our CVPR 2019 paper: "NetTailor: Tuning the architecture, not just the weights."
  ☆52Updated 3 years ago
• songweige / Contrastive-Learning-with-Non-Semantic-Negatives
  Robust Contrastive Learning Using Negative Samples with Diminished Semantics (NeurIPS 2021)
  ☆39Updated 2 years ago
• jramapuram / BYOL
  Bootstrap Your Own Latent (BYOL) pytorch implementation using DistributedDataParallel.
  ☆28Updated last year
• cjrd / selfaugment
  Code for SelfAugment
  ☆27Updated 3 years ago
• tonylins / simclr-converter
  A PyTorch converter for SimCLR checkpoints
  ☆106Updated 3 years ago
• fiveai / making-better-mistakes
  ☆63Updated 3 years ago
• Weixin-Liang / MetaShift
  MetaShift: A Dataset of Datasets for Evaluating Contextual Distribution Shifts and Training Conflicts (ICLR 2022)
  ☆108Updated 2 years ago
• 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 last year
• 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…
  ☆62Updated last year
• cjrd / self-supervised-pretraining
  Repository providing a wide range of self-supervised pretrained models for computer vision tasks.
  ☆61Updated 3 years ago
• yukimasano / linear-probes
  Evaluating AlexNet features at various depths
  ☆39Updated 4 years ago
• Lee-Gihun / MixCo-Mixup-Contrast
  (NeurIPS 2020 Workshop on SSL) Official Implementation of "MixCo: Mix-up Contrastive Learning for Visual Representation"
  ☆58Updated last year
• cvl-umass / ssl-evaluation
  Evaluation of semi-supervised learning on challenging datasets
  ☆35Updated 2 years ago
• google-research / si-score
  ☆23Updated 3 weeks ago
• minyoungg / wmigftl
  models and tools for -What makes ImageNet good for Transfer Learning?
  ☆25Updated 6 years ago
• RAIVNLab / FLUID
  ☆23Updated 2 years ago
• UMBCvision / MSF
  Official code for "Mean Shift for Self-Supervised Learning"
  ☆55Updated 3 years ago
• wvangansbeke / Revisiting-Contrastive-SSL
  Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations. [NeurIPS 2021]
  ☆88Updated 3 years ago
• pairlab / CBS
  Curriculum by Smoothing (NeurIPS 2020)
  ☆39Updated 3 years ago
• yukimasano / single_img_pretraining
  Code for generating a single image pretraining dataset
  ☆13Updated 3 years ago
• VectorInstitute / gram-ood-detection
  ☆46Updated 3 years ago
• islamamirul / shape_texture_neuron
  ☆19Updated 2 years ago
• VITA-Group / SDCLR
  [ICML 2021] “ Self-Damaging Contrastive Learning”, Ziyu Jiang, Tianlong Chen, Bobak Mortazavi, Zhangyang Wang
  ☆63Updated 2 years ago
• engkarat / cosine-ood-detector
  Hyperparameter-Free Out-of-Distribution Detection Using Softmax of Scaled Cosine Similarity
  ☆31Updated last year
• facebookresearch / OTTER
  This code provides a PyTorch implementation for OTTER (Optimal Transport distillation for Efficient zero-shot Recognition), as described …
  ☆64Updated 2 years ago
• yaox12 / BYOL-PyTorch
  PyTorch implementation of "Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning" with DDP and Apex AMP
  ☆80Updated 4 years ago
• princeton-vl / selfstudy
  Code for reproducing experiments in "How Useful is Self-Supervised Pretraining for Visual Tasks?"
  ☆60Updated 3 months ago