cianeastwood / bufrLinks
Bottom-up feature restoration
☆16Updated 3 years ago
Alternatives and similar repositories for bufr
Users that are interested in bufr are comparing it to the libraries listed below
Sorting:
- This codebase is the official implementation of Test-Time Classifier Adjustment Module for Model-Agnostic Domain Generalization (NeurIPS2…☆104Updated 4 years ago
- Official repository of CVPR '22 paper "Contrastive Test-Time Adaptation"☆106Updated 3 years ago
- Code for ICML 2022 paper — Efficient Test-Time Model Adaptation without Forgetting☆135Updated 2 years ago
- [NeurIPS] TTT++: When Does Self-supervised Test-time Training Fail or Thrive?☆72Updated 3 years ago
- This code accompanies the paper "Parameter-free Online Test-time Adaptation".☆77Updated 3 years ago
- ☆19Updated 3 years ago
- ☆50Updated 2 years ago
- The official PyTorch Implementation of "NOTE: Robust Continual Test-time Adaptation Against Temporal Correlation (NeurIPS '22)"☆50Updated 2 years ago
- Code for ICLR 2023 paper (Oral) — Towards Stable Test-Time Adaptation in Dynamic Wild World☆201Updated 2 years ago
- [NeurIPS 2022] Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering☆49Updated 2 years ago
- An open-world scenario domain generalization code base☆27Updated 2 years ago
- ☆71Updated 2 years ago
- Code for Continuously Changing Corruptions (CCC) benchmark + evaluation☆40Updated last year
- Code for Divide and Contrast: Source-free Domain Adaptation via Adaptive Contrastive Learning (NeurIPS 2022).☆42Updated 3 years ago
- code for our ICCV 2021 paper 'Generalized Source-free Domain Adaptation'☆107Updated 3 years ago
- Official repository of "Back to Source: Diffusion-Driven Test-Time Adaptation"☆85Updated 2 years ago
- Code for our NeurIPS 2022 (spotlight) paper 'Attracting and Dispersing: A Simple Approach for Source-free Domain Adaptation'☆73Updated last year
- The Norm Must Go On: Dynamic Unsupervised Domain Adaptation by Normalization (CVPR 2022)☆56Updated 2 years ago
- Test-Time Adaptation via Conjugate Pseudo-Labels☆43Updated 2 years ago
- Code for our NeurIPS 2021 paper 'Exploiting the Intrinsic Neighborhood Structure for Source-free Domain Adaptation'☆79Updated 3 years ago
- [CVPR 2023] Feature Alignment and Uniformity for Test Time Adaptation☆48Updated last month
- ☆55Updated 2 years ago
- On-Device Domain Generalization☆45Updated 3 years ago
- code for our CVPR 2022 paper "DINE: Domain Adaptation from Single and Multiple Black-box Predictors"☆82Updated last year
- About Code Release for "CLIPood: Generalizing CLIP to Out-of-Distributions" (ICML 2023), https://arxiv.org/abs/2302.00864☆69Updated 2 years ago
- Repository for the paper `DASO: Distribution-Aware Semantics-Oriented Pseudo-label Imbalanced Semi-Supervised Learning'.☆73Updated 3 years ago
- ☆64Updated last year
- Code for "BECoTTA: Input-dependent Online Blending of Experts for Continual Test-time Adaptation [ICML2024]".☆46Updated last year
- <Model Adaptation: Historical Contrastive Learning for Unsupervised Domain Adaptation without Source Data> in NIPS 2021☆51Updated 3 years ago
- [CVPR 2023] Robust Test-Time Adaptation in Dynamic Scenarios. https://arxiv.org/abs/2303.13899☆68Updated 2 years ago