abarbu / objectnet-template-pytorchLinks
baseline mode for the ObjectNet competition
☆18Updated 5 years ago
Alternatives and similar repositories for objectnet-template-pytorch
Users that are interested in objectnet-template-pytorch are comparing it to the libraries listed below
Sorting:
- ImageNetV2 Pytorch Dataset☆42Updated 2 years ago
- Official implementation of paper Gradient Matching for Domain Generalization☆124Updated 4 years ago
- MOS: Towards Scaling Out-of-distribution Detection for Large Semantic Space☆99Updated 4 years ago
- On the Importance of Gradients for Detecting Distributional Shifts in the Wild☆56Updated 3 years ago
- Code for the paper "A Whac-A-Mole Dilemma Shortcuts Come in Multiples Where Mitigating One Amplifies Others"☆51Updated last year
- [ICML 2021] “ Self-Damaging Contrastive Learning”, Ziyu Jiang, Tianlong Chen, Bobak Mortazavi, Zhangyang Wang☆63Updated 4 years ago
- ☆111Updated 2 years ago
- Code for ECCV 2022 paper "DICE: Leveraging Sparsification for Out-of-Distribution Detection"☆41Updated 3 years ago
- Official PyTorch Implementation of "CoSSL: Co-Learning of Representation and Classifier for Imbalanced Semi-Supervised Learning" (CVPR 20…☆53Updated 3 years ago
- DiWA: Diverse Weight Averaging for Out-of-Distribution Generalization☆31Updated 3 years ago
- Code for a research paper "Part-Based Models Improve Adversarial Robustness" (ICLR 2023)☆23Updated 2 years ago
- Code for "BayesAdapter: Being Bayesian, Inexpensively and Robustly, via Bayeisan Fine-tuning"☆32Updated last year
- LISA for ICML 2022☆52Updated 2 years ago
- Code for ICLR'24 workshop ME-FoMo-How Well Does GPT-4V(ision) Adapt to Distribution Shifts? A Preliminary Investigation☆38Updated last year
- PyTorch implementation of POEM (Out-of-distribution detection with posterior sampling), ICML 2022☆28Updated 2 years ago
- Official Code Release for "Diagnosing and Rectifying Vision Models using Language" (ICLR 2023)☆34Updated 2 years ago
- Code for CVPR2021 paper: MOOD: Multi-level Out-of-distribution Detection☆38Updated 2 years ago
- Code release for paper Extremely Simple Activation Shaping for Out-of-Distribution Detection☆55Updated last year
- Official PyTorch implementation of “Flexible Dataset Distillation: Learn Labels Instead of Images”☆41Updated 5 years ago
- Dataset Interfaces: Diagnosing Model Failures Using Controllable Counterfactual Generation☆45Updated 2 years ago
- "Maximum-Entropy Adversarial Data Augmentation for Improved Generalization and Robustness" (NeurIPS 2020).☆52Updated 5 years ago
- ☆29Updated 3 years ago
- MetaShift: A Dataset of Datasets for Evaluating Contextual Distribution Shifts and Training Conflicts (ICLR 2022)☆108Updated 3 years ago
- Model Zoos for Continual Learning (ICLR 22)☆45Updated 2 years ago
- ☆36Updated 3 years ago
- Object-aware Contrastive Learning for Debiased Scene Representation (NeurIPS 2021)☆45Updated 4 years ago
- This is a Pytorch implementation of contrastive Learning(CL) baselines.☆14Updated 3 years ago
- MoCo with Alignment and Uniformity Loss.☆63Updated 4 years ago
- Official Implementation of Remembering for the Right Reasons (ICLR 2021)☆30Updated 4 years ago
- Code and data for the paper "In or Out? Fixing ImageNet Out-of-Distribution Detection Evaluation"☆26Updated 2 years ago