Eaphan

GLENet

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

Robust3DOD

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

UPIDet

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

NCLR

Self-supervised Learning of LiDAR 3D PointClouds via 2D-3D Neural Calibration

OLIVINE

Fine-grained Image-to-LiDAR Contrastive Distillation with Visual Foundation Models (NeurIPS2024)

STEMD

Code for "Spatial-Temporal Enhanced Transformer Towards Multi-Frame 3D Object Detection" (TPAMI2024)

EFG

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

Spring_HeartWatchDog

spring为基础框架搭建的心狗云平台

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.

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.

py-faster-rcnn

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

SASA

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

eaphan.github.io

Yifan Zhang's homepage

Grounded-SAM

Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything

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

SLidR-1

Official PyTorch implementation of "Image-to-Lidar Self-Supervised Distillation for Autonomous Driving Data"

UniPAD

UniPAD: A Universal Pre-training Paradigm for Autonomous Driving (CVPR 2024)