Stars
[ICLR 2023] BEVDistill: Cross-Modal BEV Distillation for Multi-View 3D Object Detection
[ECCV2022] PETR: Position Embedding Transformation for Multi-View 3D Object Detection & [ICCV2023] PETRv2: A Unified Framework for 3D Perception from Multi-Camera Images
[ECCV2022, IJCAI2022] AutoAlignV2: Deformable Feature Aggregation for Dynamic Multi-Modal 3D Object Detection
[ICCV 2023] Cross Modal Transformer: Towards Fast and Robust 3D Object Detection
XuyangBai / TransFusion
Forked from open-mmlab/mmdetection3d[PyTorch] Official implementation of CVPR2022 paper "TransFusion: Robust LiDAR-Camera Fusion for 3D Object Detection with Transformers". https://arxiv.org/abs/2203.11496
Translate PDF, EPub, webpage, metadata, annotations, notes to the target language. Support 20+ translate services.
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
[NeurIPS 2022] DeepInteraction: 3D Object Detection via Modality Interaction
[ACL'19] [PyTorch] Multimodal Transformer
[CVPR'2022] SAM-DETR & SAM-DETR++: Official PyTorch Implementation
detrex is a research platform for DETR-based object detection, segmentation, pose estimation and other visual recognition tasks.
[NeurIPS 2021] You Only Look at One Sequence
Code of ICCV paper: https://arxiv.org/abs/2011.10881
[ICLR 2023] Official implementation of the paper "DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection"
[CVPR 2022 Oral] Official implementation of DN-DETR
[ICLR 2022] Official implementation of the paper "DAB-DETR: Dynamic Anchor Boxes are Better Queries for DETR"
An official implementation of the Anchor DETR.
This repository is an official implementation of the ICCV 2021 paper "Conditional DETR for Fast Training Convergence". (https://arxiv.org/abs/2108.06152)
Implementation of ICCV21 paper: PnP-DETR: Towards Efficient Visual Analysis with Transformers
RoboBEV: Towards Robust Bird's Eye View Perception under Common Corruption and Domain Shift
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.