Pinned Repositories
comma10k
10k crowdsourced images for training segnets
DDRNet
The official implementation of "Deep Dual-resolution Networks for Real-time and Accurate Semantic Segmentation of Road Scenes"
lawin
A mmseg-style demo code of Lawin(large window) Transformer https://arxiv.org/abs/2201.01615. The complete project will be available soon.
ML-For-Beginners
12 weeks, 24 lessons, classic Machine Learning for all
mmsegmentation
OpenMMLab Semantic Segmentation Toolbox and Benchmark.
PaddleDetection
Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
PlainSeg
simple and efficient baselines for practical semantic segmentation with plain ViTs
TorchSeg
Fast, modular reference implementation and easy training of Semantic Segmentation algorithms in PyTorch.
ViT-Adapter
[ICLR 2023 Spotlight] Vision Transformer Adapter for Dense Predictions
Yuanduo-Hong-Resume
ydhongHIT's Repositories
ydhongHIT/DDRNet
The official implementation of "Deep Dual-resolution Networks for Real-time and Accurate Semantic Segmentation of Road Scenes"
ydhongHIT/PlainSeg
simple and efficient baselines for practical semantic segmentation with plain ViTs
ydhongHIT/mmsegmentation
OpenMMLab Semantic Segmentation Toolbox and Benchmark.
ydhongHIT/comma10k
10k crowdsourced images for training segnets
ydhongHIT/lawin
A mmseg-style demo code of Lawin(large window) Transformer https://arxiv.org/abs/2201.01615. The complete project will be available soon.
ydhongHIT/ML-For-Beginners
12 weeks, 24 lessons, classic Machine Learning for all
ydhongHIT/PaddleDetection
Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
ydhongHIT/TorchSeg
Fast, modular reference implementation and easy training of Semantic Segmentation algorithms in PyTorch.
ydhongHIT/ViT-Adapter
[ICLR 2023 Spotlight] Vision Transformer Adapter for Dense Predictions
ydhongHIT/Yuanduo-Hong-Resume