VerwimpEli / CLADLinks
Implementation of CLAD: A Continual Learning benchmark for Autonomous Driving. A continual classification and detectin track. Provides pure PyTorch, Avalanche and Detectron2 implementations.
☆34Updated last year
Alternatives and similar repositories for CLAD
Users that are interested in CLAD are comparing it to the libraries listed below
Sorting:
- Code for the CVPR 2023 Paper: "Real-Time Evaluation in Online Continual Learning: A New Hope"☆19Updated last year
- Robustness via Cross-Domain Ensembles, ICCV 2021 [Oral]☆40Updated 4 years ago
- MUAD: Multiple Uncertainties for Autonomous Driving, a benchmark for multiple uncertainty types and tasks [BMVC 2022]☆34Updated last year
- This is a public repository for:☆39Updated 4 years ago
- Anytime Dense Prediction with Confidence Adaptivity (ICLR 2022)☆52Updated last year
- CVPR2021☆12Updated 4 years ago
- ☆13Updated 3 years ago
- Code for the paper "On the Road to Online Adaptation for Semantic Image Segmentation", CVPR 2022☆29Updated 3 years ago
- This is the implementation of Online Task-Free Continual Generative and Discriminative Learning via Dynamic Cluster Memory☆14Updated last year
- (CVPR 2022) Energy-based Latent Aligner for Incremental Learning☆51Updated 3 years ago
- Pytorch implementation of Visual DNA, an approach to represent and compare images.☆40Updated last year
- ☆67Updated 4 years ago
- CoSCL: Cooperation of Small Continual Learners is Stronger than a Big One (ECCV 2022)☆19Updated 2 years ago
- Unofficial PyTorch implementation of the paper "Conditional Channel Gated Networks for Task-Aware Continual Learning"☆20Updated 5 years ago
- Source code for "To Adapt or Not to Adapt? Real-Time Adaptation for Semantic Segmentation", ICCV 2023☆49Updated last year
- This is the official repository for Batch Level Distillation (BLD)☆15Updated 5 years ago
- [ITSC 2020] Class-Incremental Learning for Semantic Segmentation Re-Using Neither Old Data Nor Old Labels☆35Updated 5 years ago
- PyTorch Implementation of Temporal Output Discrepancy for Active Learning, ICCV 2021☆40Updated 3 years ago
- ☆11Updated 2 years ago
- ☆23Updated 4 years ago
- [CVPR 2022] Official PyTorch implementation for Attributable Visual Similarity Learning☆35Updated 3 years ago
- PyTorch implementation for our paper EvidentialMix: Learning with Combined Open-set and Closed-set Noisy Labels☆28Updated 5 years ago
- ☆61Updated 2 years ago
- SVL-Adapter: Self-Supervised Adapter for Vision-Language Pretrained Models☆21Updated 2 years ago
- [ICCV 2023] New framework: Domain adaptation using a single prompt. Main contribution: Prompt-driven Instance Normalization (PIN)☆124Updated 10 months ago
- BRAVO Challenge Toolkit and Evaluation Code☆21Updated 9 months ago
- [Spotlight ICLR 2023 paper] Continual evaluation for lifelong learning with neural networks, identifying the stability gap.☆30Updated 2 years ago
- divyakraman / BoMuDA-Boundless-Multi-Source-Domain-Adaptive-Segmentation-in-Unstructured-EnvironmentsCodebase for the paper 'BoMuDA: Boundless Multi-Source Domain Adaptive Segmentation in Unstructured Environments'☆17Updated last year
- Source code for selective scaling in the paper of << On Calibrating Semantic Segmentation Models - Analyses and An Algorithm>> (CVPR 2023…☆15Updated 2 years ago
- Latent Discriminant deterministic Uncertainty [ECCV2022]☆43Updated 3 years ago