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.
☆32Updated 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
- MUAD: Multiple Uncertainties for Autonomous Driving, a benchmark for multiple uncertainty types and tasks [BMVC 2022]☆33Updated last year
- ☆13Updated 6 months ago
- Robustness via Cross-Domain Ensembles, ICCV 2021 [Oral]☆39Updated 3 years ago
- This is a public repository for:☆39Updated 4 years ago
- CVPR2021☆12Updated 4 years ago
- Code for the paper "On the Road to Online Adaptation for Semantic Image Segmentation", CVPR 2022☆29Updated 2 years ago
- (CVPR 2022) Energy-based Latent Aligner for Incremental Learning☆51Updated 2 years ago
- Anytime Dense Prediction with Confidence Adaptivity (ICLR 2022)☆51Updated last year
- This is the implementation of Online Task-Free Continual Generative and Discriminative Learning via Dynamic Cluster Memory☆13Updated last year
- [Spotlight ICLR 2023 paper] Continual evaluation for lifelong learning with neural networks, identifying the stability gap.☆29Updated 2 years ago
- Official repository for Do Pre-trained Models Benefit Equally in Continual Learning? (Accepted to WACV'23)☆25Updated 10 months ago
- ☆64Updated 3 years ago
- Official Repository for the ICML 2023 paper "BiRT: Bio-inspired Replay in Vision Transformers for Continual Learning"☆15Updated last year
- ☆13Updated 2 years ago
- PyTorch Implementation of Temporal Output Discrepancy for Active Learning, ICCV 2021☆41Updated 2 years ago
- [CVPR 2023] Regularizing Second-Order Influences for Continual Learning☆35Updated 2 years ago
- Official repository of the paper 'Essentials for Class Incremental Learning'☆42Updated 3 years ago
- [NeurIPS] TTT++: When Does Self-supervised Test-time Training Fail or Thrive?☆70Updated 3 years ago
- ☆34Updated 3 years ago
- [ICCV 2023] New framework: Domain adaptation using a single prompt. Main contribution: Prompt-driven Instance Normalization (PIN)☆120Updated 5 months ago
- Universal Representations: A Unified Look at Multiple Task and Domain Learning☆43Updated last year
- ☆61Updated last year
- Official repository for "CLIP model is an Efficient Continual Learner".☆98Updated 2 years ago
- This is the official repository for Batch Level Distillation (BLD)☆14Updated 4 years ago
- Official Implementation of the ECCV 2022 Paper "Class-Incremental Learning with Cross-Space Clustering and Controlled Transfer"☆17Updated 3 years ago
- CoSCL: Cooperation of Small Continual Learners is Stronger than a Big One (ECCV 2022)☆18Updated last year
- [ICCV-2023] Heterogeneous Forgetting Compensation for Class-Incremental Learning☆12Updated last year
- ☆23Updated 4 years ago
- ESL: Entropy-guided Self-supervised Learning for Domain Adaptation in Semantic Segmentation☆19Updated 3 years ago