Stars
An official code release of our CVPR'23 paper, BEVHeight
[ICRA'23] BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation
OpenMMLab's next-generation platform for general 3D object detection.
OpenMMLab Foundational Library for Training Deep Learning Models
Categorical Depth Distribution Network for Monocular 3D Object Detection (CVPR 2021 Oral)
End-to-End Object Detection with Transformers
[ECCV 2022] This is the official implementation of BEVFormer, a camera-only framework for autonomous driving perception, e.g., 3D object detection and semantic map segmentation.
OpenMMLab Detection Toolbox and Benchmark
Lift, Splat, Shoot: Encoding Images from Arbitrary Camera Rigs by Implicitly Unprojecting to 3D (ECCV 2020)
[IEEE T-PAMI 2023] Awesome BEV perception research and cookbook for all level audience in autonomous diriving
Awesome papers about Multi-Camera 3D Object Detection and Segmentation in Bird's-Eye-View, such as DETR3D, BEVDet, BEVFormer, BEVDepth, UniAD
Code for ALBEF: a new vision-language pre-training method
PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO
A python library for self-supervised learning on images.
PyTorch code and models for the DINOv2 self-supervised learning method.
SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners
A collection of AWESOME things about domain adaptation
Awesome things about domain generalization, including papers, code, etc.
🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.
Kemker, Ronald, and Christopher Kanan. "Fearnet: Brain-inspired model for incremental learning." arXiv preprint arXiv:1711.10563 (2017).
ICCV 2019 Overcoming Catastrophic Forgetting with Unlabeled Data in the Wild
PyTorch implementation of "Continual Learning with Deep Generative Replay", NIPS 2017
Implementation of Learning without Forgetting paper