Code of our method MbLS (Margin-based Label Smoothing) for network calibration. To Appear at CVPR 2022. Paper : https://arxiv.org/abs/2111.15430
☆50Nov 12, 2022Updated 3 years ago
Alternatives and similar repositories for MbLS
Users that are interested in MbLS are comparing it to the libraries listed below
Sorting:
- Code for our method CALS (Class Adaptive Label Smoothing) for network calibration. To Appear at CVPR 2023. Paper: https://arxiv.org/abs/2…☆25Jun 4, 2023Updated 2 years ago
- Model calibration in CLIP Adapters☆19Aug 19, 2024Updated last year
- Code for our ICCV 2023 paper "Parametric Information Maximization for Generalized Category Discovery"☆16Jun 17, 2024Updated last year
- [ICLR'24] Official code for "C-TPT: Calibrated Test-Time Prompt Tuning for Vision-Language Models via Text Feature Dispersion"☆22Jun 9, 2024Updated last year
- Anatomically-aware Uncertainty for Semi-supervised Image Segmentation☆20Feb 18, 2024Updated 2 years ago
- ☆15Dec 12, 2020Updated 5 years ago
- An implementation of <Group Fisher Pruning for Practical Network Compression> based on pytorch and mmcv☆18Nov 21, 2021Updated 4 years ago
- Code for the paper : Do we really need dice? The hidden region-size biases of segmentation losses. MeDIA 2023. https://www.sciencedirect.…☆42Sep 24, 2023Updated 2 years ago
- Switchable Online Knowledge Distillation☆19Oct 27, 2024Updated last year
- Advances in Neural Information Processing Systems (NeurIPS 2021)☆22Nov 4, 2022Updated 3 years ago
- some idea about object detection☆18May 9, 2020Updated 5 years ago
- Code implementation of our ICLR'21 paper "Calibration of Neural Networks using Splines"☆22Mar 31, 2023Updated 2 years ago
- [MedIA'25] Towards foundation models and few-shot parameter-efficient fine-tuning for volumetric organ segmentation.☆43Oct 15, 2025Updated 4 months ago
- Model-agnostic posthoc calibration without distributional assumptions☆42Oct 20, 2023Updated 2 years ago
- Implementation of Open-Set Likelihood Maximization for Few-Shot Learning☆42Jul 5, 2023Updated 2 years ago
- ChineseCLIP using online learning☆13Nov 7, 2022Updated 3 years ago
- codes for ICML2021 paper iDARTS: Differentiable Architecture Search with Stochastic Implicit Gradients☆10May 27, 2021Updated 4 years ago
- Code for the paper : "Weakly supervised segmentation with cross-modality equivariant constraints", available at https://arxiv.org/pdf/210…☆18Nov 1, 2022Updated 3 years ago
- ICME2022 Special Session “Beyond Accuracy: Responsible, Responsive, and Robust Multimedia Retrieval ”☆12Jun 3, 2024Updated last year
- An official implementation of "RankMixup: Ranking-Based Mixup Training for Network Calibration" (ICCV 2023) in PyTorch.☆11Dec 18, 2023Updated 2 years ago
- Nanodet with mosaic and mixup☆13May 1, 2021Updated 4 years ago
- CVPR'25 official code for O-TPT: Orthogonality Constraints for Calibrating Test-time Prompt Tuning in Vision-Language Models☆15Sep 19, 2025Updated 5 months ago
- Reimplementation of "Realistic Evaluation of Deep Semi-Supervised Learning Algorithms"☆79May 14, 2020Updated 5 years ago
- PyTorch implementation of our ECCV 2022 paper "Rethinking Confidence Calibration for Failure Prediction"☆26Jun 10, 2023Updated 2 years ago
- (NeurIPS 2020) Transductive Information Maximization for Few-Shot Learning https://arxiv.org/abs/2008.11297☆123May 23, 2023Updated 2 years ago
- ICML2019 Accepted Paper. Overcoming Multi-Model Forgetting☆14Jun 5, 2019Updated 6 years ago
- Code repository for the paper "Adaptive Bounding Box Uncertainties via Two-Step Conformal Prediction" @ ECCV 2024 (Oral)☆13Apr 22, 2025Updated 10 months ago
- 陆续开源医疗行业的深度学习模型及数据集☆13Dec 30, 2021Updated 4 years ago
- Constrained Optimization to Train Neural Networks on Critical and Under-Represented Classes [NeurIPS2021]☆13Feb 3, 2026Updated last month
- ☆13Mar 27, 2023Updated 2 years ago
- codes for Neural Architecture Ranker and detailed cell information datasets based on NAS-Bench series☆12Jul 11, 2022Updated 3 years ago
- [ICML'24] Open-Vocabulary Calibration for Fine-tuned CLIP☆18Jun 14, 2024Updated last year
- Revisiting Test Time Adaptation Under Online Evaluation☆35May 2, 2024Updated last year
- [MICCAI 2022] BabyNet: Residual Transformer Module for Birth Weight Prediction on Fetal Ultrasound Video☆15Sep 26, 2022Updated 3 years ago
- Pytorch最小实践☆17Jun 27, 2022Updated 3 years ago
- The code release for "Variational Structured Attention Networks for Visual Dense Representation Learning"☆14Nov 28, 2022Updated 3 years ago
- ☆14Jan 11, 2024Updated 2 years ago
- Bottom-up feature restoration☆16Aug 30, 2022Updated 3 years ago
- The reproduce for "AM-LFS: AutoML for Loss Function Search"☆14May 20, 2020Updated 5 years ago