Pinned Repositories
Li-Qingyun
Config files for my GitHub profile.
mmdet_align_utils
Aligning utils for glcc22 about Detection Transformers
mmdetection
OpenMMLab Detection Toolbox and Benchmark
RSCoTr
[TGRS 2024] Official implementation of "Co-training Transformer for Remote Sensing Image Classification, Segmentation and Detection".
sam-mmrotate
SAM (Segment Anything Model) for generating rotated bounding boxes with MMRotate, which is a comparison method of H2RBox-v2.
Spa-Spe-TR
[GRSL 2022] Official implementation of "Two-Branch Pure Transformer for Hyperspectral Image Classification".
VideoSAR-tracking
Implement object tracking task of SAR Video. This repo is built on mmtracking (OpenMMLab 1.0 series).
mmdetection
OpenMMLab Detection Toolbox and Benchmark
mmrotate
OpenMMLab Rotated Object Detection Toolbox and Benchmark
all-seeing
[ICLR 2024] This is the official implementation of the paper "The All-Seeing Project: Towards Panoptic Visual Recognition and Understanding of the Open World"
Li-Qingyun's Repositories
Li-Qingyun/sam-mmrotate
SAM (Segment Anything Model) for generating rotated bounding boxes with MMRotate, which is a comparison method of H2RBox-v2.
Li-Qingyun/mmdetection
OpenMMLab Detection Toolbox and Benchmark
Li-Qingyun/Spa-Spe-TR
[GRSL 2022] Official implementation of "Two-Branch Pure Transformer for Hyperspectral Image Classification".
Li-Qingyun/mmdet_align_utils
Aligning utils for glcc22 about Detection Transformers
Li-Qingyun/VideoSAR-tracking
Implement object tracking task of SAR Video. This repo is built on mmtracking (OpenMMLab 1.0 series).
Li-Qingyun/Li-Qingyun
Config files for my GitHub profile.
Li-Qingyun/RSCoTr
[TGRS 2024] Official implementation of "Co-training Transformer for Remote Sensing Image Classification, Segmentation and Detection".
Li-Qingyun/Awesome-Multimodal-Large-Language-Models
:sparkles::sparkles:Latest Papers and Datasets on Multimodal Large Language Models, and Their Evaluation.
Li-Qingyun/HBB_remote_sensing_detection
Horizontal object detection on remote sensing data sets with the new mmdetection. Personal maintenance and use.
Li-Qingyun/PointDETR
pytorch implementation of the paper, points as queries: weakly semi-supervised object detection by points
Li-Qingyun/remote_sensing_semantic_segmentation
Semantic segmentation on remote sensing data sets with the mmsegmentation of OpenMMLab 2.0. Personal maintenance and use.
Li-Qingyun/cond_grafting_test
Grafting test of conditional detr
Li-Qingyun/awesome-remote-sensing-vision-language-models
awesome-remote-sensing-vision-language-models
Li-Qingyun/BoxInstSeg
A toolbox for box-supervised instance segmentation.
Li-Qingyun/detrex
detrex is a research platform for Transformer-based Instance Recognition algorithms including DETR (ECCV 2020), Deformable-DETR (ICLR 2021), Conditional-DETR (ICCV 2021), DAB-DETR (ICLR 2022), DN-DETR (CVPR 2022), DINO (arXiv 2022), H-DETR (arXiv 2022), MaskDINO (arXiv 2022), etc.
Li-Qingyun/DFC2023-baseline
Li-Qingyun/HIT-clock
HIT每日上报自动脚本
Li-Qingyun/InternImage
[CVPR 2023 Highlight] InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions
Li-Qingyun/labelbee
LabelBee is an annotation Library
Li-Qingyun/LibMTL
A PyTorch Library for Multi-Task Learning
Li-Qingyun/LLaVA
Large Language-and-Vision Assistant built towards multimodal GPT-4 level capabilities.
Li-Qingyun/MaskDINO
Official implementation of the paper "Mask DINO: Towards A Unified Transformer-based Framework for Object Detection and Segmentation"
Li-Qingyun/mmengine
OpenMMLab Foundational Library for Training Deep Learning Models
Li-Qingyun/mmrotate
OpenMMLab Rotated Object Detection Toolbox and Benchmark
Li-Qingyun/mmsegmentation
OpenMMLab Semantic Segmentation Toolbox and Benchmark.
Li-Qingyun/mmtracking
OpenMMLab Video Perception Toolbox. It supports Video Object Detection (VID), Multiple Object Tracking (MOT), Single Object Tracking (SOT), Video Instance Segmentation (VIS) with a unified framework.
Li-Qingyun/PaddleRS
Awesome Remote Sensing Toolkit based on PaddlePaddle.
Li-Qingyun/shikra
Li-Qingyun/torchgeo
TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
Li-Qingyun/tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.