Alternatives and similar repositories for generalization_to_OOD_category_viewpoint_combinations

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

• allenai / ViRB
  Visual Representation Learning Benchmark for Self-Supervised Models
  ☆34Updated last year
• bfshi / VARS
  Official code for `Visual Attention Emerges from Recurrent Sparse Reconstruction' (ICML 2022)
  ☆36Updated 3 years ago
• evandez / neuron-descriptions
  Natural Language Descriptions of Deep Visual Features, ICLR 2022
  ☆65Updated 2 years ago
• Newbeeer / orthogonal_classifier
  Code for ICLR 2022 Paper, "Controlling Directions Orthogonal to a Classifier"
  ☆35Updated 2 years ago
• tkasarla / max-separation-as-inductive-bias
  Github code for the paper Maximum Class Separation as Inductive Bias in One Matrix. Arxiv link: https://arxiv.org/abs/2206.08704
  ☆29Updated 2 years ago
• serre-lab / CVR
  A Benchmark for Efficient and Compositional Visual Reasoning
  ☆25Updated last year
• nerdslab / myow
  PyTorch Implementation - Mine Your Own vieW: Self-Supervised Learning Through Across-Sample Prediction
  ☆31Updated 3 years ago
• brendel-group / cl-ica
  Code for the paper "Contrastive Learning Inverts the Data Generating Process".
  ☆90Updated 11 months ago
• bethgelab / slow_disentanglement
  Towards Nonlinear Disentanglement in Natural Data with Temporal Sparse Coding
  ☆73Updated 3 years ago
• bethgelab / testing_visualizations
  Code for the paper " Exemplary Natural Images Explain CNN Activations Better than Feature Visualizations"
  ☆10Updated 4 years ago
• EPFL-VILAB / XDEnsembles
  Robustness via Cross-Domain Ensembles, ICCV 2021 [Oral]
  ☆39Updated 3 years ago
• mwalmer-umd / vit_analysis
  ☆36Updated 2 years ago
• amro-kamal / ObjectPose
  ☆13Updated 2 years ago
• shikhartuli / cnn_txf_bias
  [CogSci'21] Study of human inductive biases in CNNs and Transformers.
  ☆43Updated 4 years ago
• MadryLab / data-transfer
  ☆36Updated 2 years ago
• NingMiao / InstaAug
  ☆12Updated 2 years ago
• MadryLab / ImageNetMultiLabel
  Fine-grained ImageNet annotations
  ☆29Updated 5 years ago
• alexrame / diwa
  DiWA: Diverse Weight Averaging for Out-of-Distribution Generalization
  ☆31Updated 2 years ago
• yilundu / comet
  [NeurIPS 2021] Code for Unsupervised Learning of Compositional Energy Concepts
  ☆62Updated 2 years ago
• tsb0601 / MultiMon
  ☆24Updated 2 years ago
• izmailovpavel / spurious_feature_learning
  ☆45Updated 2 years ago
• princetonvisualai / OverlookedFactors
  Overlooked Factors in Concept-based Explanations: Dataset Choice, Concept Learnability, and Human Capability (CVPR 2023)
  ☆9Updated 2 years ago
• mkirchhof / Probabilistic_Contrastive_Learning
  This repository contains the code for our paper "Probabilistic Contrastive Learning Recovers the Correct Aleatoric Uncertainty of Ambiguo…
  ☆41Updated 2 years ago
• ShuangLI59 / ebm-continual-learning
  Energy-Based Models for Continual Learning Official Repository (PyTorch)
  ☆42Updated 2 years ago
• Aaditya-Singh / Low-Shot-Robustness
  Code for the ICCV 2023 paper "Benchmarking Low-Shot Robustness to Natural Distribution Shifts"
  ☆11Updated last year
• yilundu / ebm_compositionality
  [NeurIPS'20] Code for the Paper Compositional Visual Generation and Inference with Energy Based Models
  ☆45Updated 2 years ago
• iamalexkorotin / Wasserstein2Barycenters
  PyTorch implementation of the paper "Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization" (ICLR 2021)
  ☆23Updated 3 years ago
• google-research / fooling-feature-visualizations
  Code for "Don't trust your eyes: on the (un)reliability of feature visualizations" (ICML 2024)
  ☆32Updated last year
• google-deepmind / ssl_hsic
  ☆37Updated 11 months ago
• dlmacedo / distinction-maximization-loss
  A project to improve out-of-distribution detection (open set recognition) and uncertainty estimation by changing a few lines of code in y…
  ☆45Updated 2 years ago