Son-Goku-gpu

Son-Goku-gpu's Stars

• yichen928/SparseFusion

  [ICCV 2023] SparseFusion: Fusing Multi-Modal Sparse Representations for Multi-Sensor 3D Object Detection

  Language:Python20020

• yuxumin/PoinTr

  [ICCV 2021 Oral] PoinTr: Diverse Point Cloud Completion with Geometry-Aware Transformers

  Language:Python622111

• Autotronics-Research-Lab-ARL/sessd-3dod

  Language:Python21

• DirtyHarryLYL/Transformer-in-Vision

  Recent Transformer-based CV and related works.

  1.3k144

• Vegeta2020/SE-SSD

  SE-SSD: Self-Ensembling Single-Stage Object Detector From Point Cloud, CVPR 2021.

  Language:Python812128

• yinjunbo/CenterPoint-Fusion

  The proposed approach enhances the CenterPoint baseline with a multimodal fusion mechanism. First, inspired by PointPainting, an off-the-shelf Mask-RCNN model trained from nuImages is employed to generate 2D object mask information based on the camera images. Furthermore, the Cylinder3D is also adopted to produce the 3D semantic information of the input LiDAR point cloud. Then, an improved version of CenterPoint takes the painted points(with 2D instance segmentation and 3D semantic segmentation) as inputs for accurate object detection. Specifically, we replace the RPN module in CenterPoint with modified Spatial-Semantic Feature Aggregation(SSFA) to well address multi-class detection. A simple pseudo labeling technique is also integrated in a semi-supervised learning manner. In addition, the Test Time Augmentation(TTA) strategy including multiple flip and rotation operations is applied during the inference time. Finally, the detections generated from multiple voxel resolutions (0.05m to 0.125m) are assembled with 3D Weighted Bounding Box Fusion(WBF) technique to produce the final results.

  979

• tianweiy/CenterPoint

  Language:Python1.9k459

• YunhaoLee/Object-Detection-paper

  Summaries of the papers on Object detection

  4613

• yezhen17/3DIoUMatch

  [CVPR 2021] PyTorch implementation of 3DIoUMatch: Leveraging IoU Prediction for Semi-Supervised 3D Object Detection.

  Language:Python15616

• open-mmlab/mmdetection3d

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

  Language:Python5.3k1.6k

• Vegeta2020/CIA-SSD

  CIA-SSD: Confident IoU-Aware Single Stage Object Detector From Point Cloud, AAAI 2021.

  Language:Python41654

• V2AI/SelfSup

  Collections of self-supervised methods, based on cvpods.

  Language:Python598

• Hub-Tian/Awesome-3D-Detectors

  Paperlist of awesome 3D detection methods

  39959

• autonomousvision/kitti360Scripts

  This repository contains utility scripts for the KITTI-360 dataset.

  Language:Python39164

• kkhoot/PAA

  A PyTorch implementation of the paper `Probabilistic Anchor Assignment with IoU Prediction for Object Detection` ECCV 2020 (https://arxiv.org/abs/2007.08103)

  Language:Python24825

• peiyunh/wysiwyg

  WYSIWYG: Exploiting Visibility for 3D Object Detection, CVPR 2020 (Oral)

  Language:Python11516

• Na-Z/sess

  [CVPR2020 Oral] SESS: Self-Ensembling Semi-Supervised 3D Object Detection

  Language:Python13829

• dvlab-research/PointGroup

  PointGroup: Dual-Set Point Grouping for 3D Instance Segmentation

  Language:Python39180

• mit-han-lab/pvcnn

  [NeurIPS 2019, Spotlight] Point-Voxel CNN for Efficient 3D Deep Learning

  Language:Python647130

• jhultman/vision3d

  Research platform for 3D object detection in PyTorch.

  Language:Python20148

• V2AI/Det3D

  World's first general purpose 3D object detection codebse.

  Language:Python1.5k299