Zengchangyu19990406's Stars
eseckel/ai-for-grant-writing
A curated list of resources for using LLMs to develop more competitive grant applications.
filaPro/unidet3d
[AAAI2025] UniDet3D: Multi-dataset Indoor 3D Object Detection
ScanNet/ScanNet
yunshin/SphericalMask
Official implementation of "Spherical Mask: Coarse-to-Fine 3D Point Cloud Instance Segmentation with Spherical Representation"
ZzZZCHS/Chat-Scene
Code for "Chat-Scene: Bridging 3D Scene and Large Language Models with Object Identifiers" (NeurIPS 2024)
WeitaiKang/Robin3D
Improving 3D Large Language Model via Robust Instruction Tuning
Z-Siqi/Clash-for-Windows_Chinese
clash for windows汉化版. 提供clash for windows的汉化版, 汉化补丁及汉化版安装程序
jacobgil/pytorch-grad-cam
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
zengwang430521/TCFormer
The codes for TCFormer in paper: Not All Tokens Are Equal: Human-centric Visual Analysis via Token Clustering Transformer
LiheYoung/Depth-Anything
[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation
ZrrSkywalker/MonoDETR
[ICCV 2023] The first DETR model for monocular 3D object detection with depth-guided transformer
vobecant/POP3D
Source code for NeurIPS paper "POP-3D: Open-Vocabulary 3D Occupancy Prediction from Images"
AutoAILab/FusionDepth
Official implementation for paper "Advancing Self-supervised Monocular Depth Learning with Sparse LiDAR"
SPengLiang/OccupancyM3D
[CVPR 2024] Learning Occupancy for Monocular 3D Object Detection
cskkxjk/MonoNeRD
(ICCV2023) MonoNeRD: NeRF-like Representations for Monocular 3D Object Detection
xmuqimingxia/CoIn
CoIn: Contrastive Instance Feature Mining for Outdoor 3D Object Detection with Very Limited Annotations(ICCV2023)
WXinlong/DenseCL
Dense Contrastive Learning (DenseCL) for self-supervised representation learning, CVPR 2021 Oral.
ZhenglinZhou/Data_Augmentation_Zoo_for_Object_Detection
Includes: Learning data augmentation strategies for object detection | GridMask data augmentation | Augmentation for small object detection in Numpy. Use RetinaNet with ResNet-18 to test these methods on VOC and KITTI.
sthalles/PyTorch-BYOL
PyTorch implementation of Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning
Sense-X/GeoMIM
[ICCV 2023] GeoMIM: towards better 3d knowledge transfer via masked image modeling for multi-view 3d understanding
yanglei18/Mix-Teaching
This is the official implementation of our manuscript "Mix-Teaching: A Simple, Unified and Effective Semi-supervised Learning Framework for Monocular 3D Object Detection".
weakmono3d/weakmono3d
Traffic-X/MonoLSS
Official implementation of the 3DV 2024 paper MonoLSS: Learnable Sample Selection For Monocular 3D Detection
kaixinbear/CAPE
(CVPR2023) CAPE: Camera View Position Embedding for Multi-View 3D Object Detection
open-mmlab/OpenPCDet
OpenPCDet Toolbox for LiDAR-based 3D Object Detection.
Cc-Hy/CMKD-MV
Cc-Hy/CMKD
Cross-Modality Knowledge Distillation Network for Monocular 3D Object Detection (ECCV 2022 Oral)
monster-ghost/MonoDistill
RunpeiDong/PointDistiller
[CVPR 2023] PointDistiller: Structured Knowledge Distillation Towards Efficient and Compact 3D Detection
hht1996ok/EA-LSS
EA-LSS: Edge-aware Lift-splat-shot Framework for 3D BEV Object Detection