Voruarn
#2018-2022, Nanjing Forestry University, bachelor's # #2022-2025, Nanjing University of Information Science and Technology, master's#
南京
Voruarn's Stars
open-mmlab/mmdetection
OpenMMLab Detection Toolbox and Benchmark
microsoft/unilm
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
state-spaces/mamba
Mamba SSM architecture
WongKinYiu/yolov7
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
facebookresearch/dino
PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO
chenyuntc/simple-faster-rcnn-pytorch
A simplified implemention of Faster R-CNN that replicate performance from origin paper
hustvl/Vim
[ICML 2024] Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model
pengzhiliang/MAE-pytorch
Unofficial PyTorch implementation of Masked Autoencoders Are Scalable Vision Learners
MzeroMiko/VMamba
VMamba: Visual State Space Models,code is based on mamba
yformer/EfficientSAM
EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything
yhenon/pytorch-retinanet
Pytorch implementation of RetinaNet object detection.
multimodallearning/pytorch-mask-rcnn
facebookresearch/ConvNeXt-V2
Code release for ConvNeXt V2 model
GOATmessi8/RFBNet
Receptive Field Block Net for Accurate and Fast Object Detection, ECCV 2018
IDEA-Research/MaskDINO
[CVPR 2023] Official implementation of the paper "Mask DINO: Towards A Unified Transformer-based Framework for Object Detection and Segmentation"
bubbliiiing/yolov5-pytorch
这是一个YoloV5-pytorch的源码,可以用于训练自己的模型。
Visual-Attention-Network/SegNeXt
Official Pytorch implementations for "SegNeXt: Rethinking Convolutional Attention Design for Semantic Segmentation" (NeurIPS 2022)
bubbliiiing/yolov8-pytorch
这是一个yolov8-pytorch的仓库,可以用于训练自己的数据集。
Alpha-VL/ConvMAE
ConvMAE: Masked Convolution Meets Masked Autoencoders
DeNA/PyTorch_YOLOv3
Implementation of YOLOv3 in PyTorch
Okery/PyTorch-Simple-MaskRCNN
A PyTorch implementation of simple Mask R-CNN
InsulatorData/InsulatorDataSet
Provide normal insulator images captured by UAVs and synthetic defective insulator images.
JiarunLiu/Swin-UMamba
Swin-UMamba: Mamba-based UNet with ImageNet-based pretraining
FlyEgle/MAE-pytorch
Masked Autoencoders Are Scalable Vision Learners
zhu-xlab/SSL4EO-S12
SSL4EO-S12: a large-scale dataset for self-supervised learning in Earth observation
JiYuanFeng/DDP
OliverRensu/TinyMIM
Sense-X/MixMIM
MixMIM: Mixed and Masked Image Modeling for Efficient Visual Representation Learning
LightDXY/BootMAE
ECCV2022,Bootstrapped Masked Autoencoders for Vision BERT Pretraining
Jacky-Android/convnext-v2-pytorch