eaphan Goto Github PK

awesome-learning-with-label-noise

A curated list of resources for Learning with Noisy Labels

bevcontrast

BEVContrast: Self-Supervision in BEV Space for Automotive Lidar Point Clouds - Official PyTorch implementation

convert_kitti_to_meshlab

cv_ops

nms, nms_3d, roi_align, roi_align_3d, 3d ops, pytorch

detectron2

Detectron2 is FAIR's next-generation platform for object detection, segmentation and other visual recognition tasks.

efg

An Efficient, Flexible, and General deep learning framework that retains minimal.

glenet

GLENet: Boosting 3D Object Detectors with Generative Label Uncertainty Estimation [IJCV2023]

ia-ssd

Not All Points Are Equal: Learning Highly Efficient Point-based Detectors for 3D LiDAR Point Clouds (CVPR 2022, Oral)

mmdetection3d

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

nclr

nsfc-application-template-latex

国家自然科学基金申请书正文（面上项目）LaTeX 模板（非官方）

openbilibili

py-faster-rcnn

Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version

robust3dod

A Comprehensive Study of the Robustness for LiDAR-based 3D Object Detectors against Adversarial Attacks [IJCV2023]

sasa

SASA: Semantics-Augmented Set Abstraction for Point-based 3D Object Detection

spring_heartwatchdog

spring为基础框架搭建的心狗云平台

stemd

Code for "Spatial-Temporal Enhanced Transformer Towards Multi-Frame 3D Object Detection"

upidet

Unleash the Potential of Image Branch for Cross-modal 3D Object Detection [NeurIPS2023]