Pinned Repositories
aanet
AANet: Adaptive Aggregation Network for Efficient Stereo Matching, CVPR 2020
Bi3D
CVPR2021-Papers-with-Code
CVPR 2021 论文和开源项目合集
ICCV2021-Papers-with-Code
ICCV 2021 论文和开源项目合集
mmdetection
OpenMMLab Detection Toolbox and Benchmark
moco
PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722
PSMNet
Pyramid Stereo Matching Network (CVPR2018)
PyTorch-HITNet-Hierarchical-Iterative-Tile-Refinement-Network-for-Real-time-Stereo-Matching
HITNet implementation using PyTorch
Realworld-Underwater-Image-Enhancement-RUIE-Benchmark
Paper “Real-world Underwater Enhancement: Challenging, Benchmark and Efficient Solutions” https://arxiv.org/abs/1901.05320
stereo-transformer
Official Repo for Stereo Transformer: Revisiting Stereo Depth Estimation From a Sequence-to-Sequence Perspective with Transformers. (ICCV 2021 Oral)
xzjzsa's Repositories
xzjzsa/aanet
AANet: Adaptive Aggregation Network for Efficient Stereo Matching, CVPR 2020
xzjzsa/Bi3D
xzjzsa/CVPR2021-Papers-with-Code
CVPR 2021 论文和开源项目合集
xzjzsa/ICCV2021-Papers-with-Code
ICCV 2021 论文和开源项目合集
xzjzsa/mmdetection
OpenMMLab Detection Toolbox and Benchmark
xzjzsa/moco
PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722
xzjzsa/PSMNet
Pyramid Stereo Matching Network (CVPR2018)
xzjzsa/PyTorch-HITNet-Hierarchical-Iterative-Tile-Refinement-Network-for-Real-time-Stereo-Matching
HITNet implementation using PyTorch
xzjzsa/Realworld-Underwater-Image-Enhancement-RUIE-Benchmark
Paper “Real-world Underwater Enhancement: Challenging, Benchmark and Efficient Solutions” https://arxiv.org/abs/1901.05320
xzjzsa/stereo-transformer
Official Repo for Stereo Transformer: Revisiting Stereo Depth Estimation From a Sequence-to-Sequence Perspective with Transformers. (ICCV 2021 Oral)
xzjzsa/X-StereoLab
SOS IROS 2018 GOOGLE; StereoNet ECCV2018 GOOGLE; ActiveStereoNet ECCV2018 Oral GOOGLE; HITNET CVPR2021 GOOGLE
xzjzsa/Detection-PyTorch-Notebook
代码 -《深度学习之PyTorch物体检测实战》
xzjzsa/GANet
GA-Net: Guided Aggregation Net for End-to-end Stereo Matching
xzjzsa/Graft-PSMNet
xzjzsa/HRNet-Semantic-Segmentation
The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919
xzjzsa/Lac-GwcNet
Local Similarity Pattern and Cost Self-Reassembling for Deep Stereo Matching Networks
xzjzsa/lawin
A mmseg-style demo code of Lawin(large window) Transformer. The complete project will be available soon.
xzjzsa/poolformer
PoolFormer: MetaFormer is Actually What You Need for Vision
xzjzsa/ViT-Adapter
Vision Transformer Adapter for Dense Predictions