Pinned Repositories
Segment-Anything-NeRF
Segment-anything interactively in NeRF.
ConditionalDETR
This repository is an official implementation of the ICCV 2021 paper "Conditional DETR for Fast Training Convergence". (https://arxiv.org/abs/2108.06152)
Depth2HHA
Use MATLAB to convert depth image into HHA image. In this repo, I will use NYU Depth V2 dataset as an example.
Depth2HHA-python
Use python3 to convert depth image into hha image
PyTorch_Semantic_Segmentation
Implement some models of RGB/RGBD semantic segmentation in PyTorch, easy to run. Such as FCN, RefineNet, PSPNet, RDFNet, 3DGNN, PointNet, DeepLab V3, DeepLab V3 plus, DenseASPP, FastFCN
RGBD_Semantic_Segmentation_PyTorch
[ECCV 2020] PyTorch Implementation of some RGBD Semantic Segmentation models.
TorchSemiSeg
[CVPR 2021] CPS: Semi-Supervised Semantic Segmentation with Cross Pseudo Supervision
TorchSSC
Implement some state-of-the-art methods of Semantic Scene Completion (SSC) task in PyTorch. [1] 3D Sketch-aware Semantic Scene Completion via Semi-supervised Structure Prior (CVPR 2020)
Janus
Janus-Series: Unified Multimodal Understanding and Generation Models
CAE
This is a PyTorch implementation of “Context AutoEncoder for Self-Supervised Representation Learning"
charlesCXK's Repositories
charlesCXK/TorchSemiSeg
[CVPR 2021] CPS: Semi-Supervised Semantic Segmentation with Cross Pseudo Supervision
charlesCXK/RGBD_Semantic_Segmentation_PyTorch
[ECCV 2020] PyTorch Implementation of some RGBD Semantic Segmentation models.
charlesCXK/PyTorch_Semantic_Segmentation
Implement some models of RGB/RGBD semantic segmentation in PyTorch, easy to run. Such as FCN, RefineNet, PSPNet, RDFNet, 3DGNN, PointNet, DeepLab V3, DeepLab V3 plus, DenseASPP, FastFCN
charlesCXK/Depth2HHA-python
Use python3 to convert depth image into hha image
charlesCXK/TorchSSC
Implement some state-of-the-art methods of Semantic Scene Completion (SSC) task in PyTorch. [1] 3D Sketch-aware Semantic Scene Completion via Semi-supervised Structure Prior (CVPR 2020)
charlesCXK/PKU_EECS_UGR_THSS
LaTeX Template for Undergraduate Thesis at School of EECS, Peking University. Initial author is Bochen Tan. Based on Bochen's code, I added the cover and reviewtable in branch 'cover'.
charlesCXK/DeepLearning-500-questions
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
charlesCXK/LeetCode-record
My solutions for LeetCode problems
charlesCXK/LoveTree
:palm_tree:爱情树，将相爱的时刻永远珍藏 （微信，QQ可完美查看）https://ajlovechina.github.io/LoveTree/
charlesCXK/PKUAutoSubmit_online
萌新友好的，无需下载文件与配环境的，基于Github Actions的，P大学生出入校自动报备程序
charlesCXK/CAE
This is a PyTorch implementation of “Context AutoEncoder for Self-Supervised Representation Learning"
charlesCXK/charlesCXK
charlesCXK/charlesCXK.github.io
My homepage.
charlesCXK/ConditionalDETR
This repository is an official implementation of the ICCV 2021 paper "Conditional DETR for Fast Training Convergence". (https://arxiv.org/abs/2108.06152)
charlesCXK/detr
End-to-End Object Detection with Transformers
charlesCXK/FixMatch-pytorch
Unofficial PyTorch implementation of "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence"
charlesCXK/ibot
iBOT: Image BERT Pre-Training with Online Tokenizer (ICLR 2022)
charlesCXK/jd_maotai_seckill
优化版本的京东茅台抢购神器
charlesCXK/mae
PyTorch implementation of MAE https//arxiv.org/abs/2111.06377
charlesCXK/Meta-DETR
[T-PAMI 2022] Meta-DETR for Few-Shot Object Detection: Official PyTorch Implementation
charlesCXK/mmsegmentation
OpenMMLab Semantic Segmentation Toolbox and Benchmark.
charlesCXK/PixelSSL
A PyTorch-based Semi-Supervised Learning (SSL) Codebase for Pixel-wise (Pixel) Vision Tasks
charlesCXK/PKUAutoSubmit
PKU一键出入校备案小工具
charlesCXK/PlotNeuralNet
Latex code for making neural networks diagrams
charlesCXK/Pointnet2_PyTorch
PyTorch implementation of Pointnet2/Pointnet++
charlesCXK/qndxx-beijing
charlesCXK/SATNet
See and Think: Disentangling Semantic Scene Completion
charlesCXK/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
charlesCXK/unilm
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
charlesCXK/unsloth
2-5X faster 70% less memory QLoRA & LoRA finetuning