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lyft-3d-object-detection-1

m3detr

Code base for M3DeTR: Multi-representation, Multi-scale, Mutual-relation 3D Object Detection with Transformers

m3dssd

M3DSSD: Monocular 3D Single Stage Object Detector

mae

PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

mahalanobis_3d_multi_object_tracking

make_it_dense

Make it Dense: Self-Supervised Geometric Scan Completion of Sparse 3D LiDAR Scans in Large Outdoor Environments

manydepth

[CVPR 2021] Self-supervised depth estimation from short sequences

mask3d

maskpoint

[ECCV 2022] Masked Discrimination for Self-Supervised Learning on Point Clouds

mayavi

3D visualization of scientific data in Python

me-pcn

mean-teacher-cross-domain-detection

Implementation of 'Exploring Object Relation in Mean Teacher for Cross-Domain Detection' [CVPR 2019]

meshlab

The open source mesh processing system

metaworld

An open source robotics benchmark for meta- and multi-task reinforcement learning

mgd

Masked Generative Distillation (ECCV 2022)

mic

[CVPR23] Official Implementation of MIC: Masked Image Consistency for Context-Enhanced Domain Adaptation

mimdet

MIMDet: Unleashing Vanilla Vision Transformer with Masked Image Modeling for Object Detection

minkowskiengine

Minkowski Engine is an auto-diff library for generalized sparse convolutions and high-dimensional sparse tensors

mix3d

Mix3D: Out-of-Context Data Augmentation for 3D Scenes (3DV 2021)

mlcnet

Implementation of "Unsupervised Domain Adaptive 3D Detection with Multi-Level Consistency"

mlcvnet

MLCVNet: Multi-Level Context VoteNet for 3D Object Detection

mlsp

mmdet3d-centerpoint

CenterPoint model trained with MMDetection3d on custom dataset, and deployed with TensorRT

mmdet3d_onnx_tools

convert hv_pointpillars_secfpn_sbn-all_4x8_2x_nus-3d from mmdet3d to onnx

mmdetection

Open MMLab Detection Toolbox and Benchmark

mmdetection3d

OpenMMLab's next-generation platform for general 3D object detection.

mmrazor

OpenMMLab Model Compression Toolbox and Benchmark.

mmselfsup

OpenMMLab Self-Supervised Learning Toolbox and Benchmark

mmskeleton

Spatial Temporal Graph Convolutional Networks (ST-GCN) for Skeleton-Based Action Recognition in PyTorch

models

Models and examples built with TensorFlow