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.
☆33Updated 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
- Robustness via Cross-Domain Ensembles, ICCV 2021 [Oral]☆39Updated 4 years ago
- Anytime Dense Prediction with Confidence Adaptivity (ICLR 2022)☆52Updated last year
- 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 3 years ago
- ☆66Updated 3 years ago
- [NeurIPS] TTT++: When Does Self-supervised Test-time Training Fail or Thrive?☆71Updated 3 years ago
- (CVPR 2022) Energy-based Latent Aligner for Incremental Learning☆52Updated 2 years ago
- Official Repository for the ICML 2023 paper "BiRT: Bio-inspired Replay in Vision Transformers for Continual Learning"☆16Updated 2 years ago
- Latent Discriminant deterministic Uncertainty [ECCV2022]☆42Updated 3 years ago
- ESL: Entropy-guided Self-supervised Learning for Domain Adaptation in Semantic Segmentation☆19Updated 3 years ago
- PyTorch Implementation of Temporal Output Discrepancy for Active Learning, ICCV 2021☆41Updated 3 years ago
- This is the implementation of Online Task-Free Continual Generative and Discriminative Learning via Dynamic Cluster Memory☆13Updated last year
- [ITSC 2020] Class-Incremental Learning for Semantic Segmentation Re-Using Neither Old Data Nor Old Labels☆35Updated 5 years ago
- ☆23Updated 4 years ago
- Unofficial PyTorch implementation of the paper "Conditional Channel Gated Networks for Task-Aware Continual Learning"☆20Updated 4 years ago
- Code for "Estimating and Evaluating Regression Predictive Uncertainty in Deep Object Detectors." (ICLR 2021)☆67Updated 4 years ago
- Official Pytorch implementation for the paper titled "Active Learning for Object Detection with Evidential Deep Learning and Hierarchical…☆26Updated 2 years ago
- Source code for "Online Unsupervised Domain Adaptation for Semantic Segmentation in Ever-Changing Conditions", ECCV 2022. This is the cod…☆29Updated last year
- This is the official repository for Batch Level Distillation (BLD)☆15Updated 4 years ago
- ☆61Updated 2 years ago
- [CVPR 2023] Regularizing Second-Order Influences for Continual Learning☆36Updated 2 years ago
- Universal Representations: A Unified Look at Multiple Task and Domain Learning☆44Updated last year
- Official PyTorch implementation of our paper "Dispersing Prompt Expansion for Class-Agnostic Object Detection" (NeurIPS 2024)☆13Updated 10 months ago
- ☆13Updated 9 months ago
- [ICCV 2023] New framework: Domain adaptation using a single prompt. Main contribution: Prompt-driven Instance Normalization (PIN)☆123Updated 8 months ago
- CoSCL: Cooperation of Small Continual Learners is Stronger than a Big One (ECCV 2022)☆18Updated 2 years ago
- Revisiting Test Time Adaptation Under Online Evaluation☆35Updated last year