Pinned Repositories
Awesome-Crowd-Localization
Awesome Crowd Localization
Bayesian-Crowd-Counting
Official Implement of ICCV 2019 oral paper Bayesian Loss for Crowd Count Estimation with Point Supervision
CCM
[ECCV2020] Content-Consistent Matching for Domain Adaptive Semantic Segmentation
CLIP
Contrastive Language-Image Pretraining
Convolutional-Pose-Machine
realize CPM published on CVPR-20xx via Pytorch 1.6
Counting-DETR
Few-shot Object Counting and Detection (ECCV 2022)
DACS
Code from the paper "DACS: Domain Adaptation via Cross-domain Mixed Sampling"
HRNet
I realized High Revolution Network published on CVPR2020 using Pytorch 1.6
huge-filter-to-segment-or-detect-object
I designed an extremely huge filter to segment or detect objects.
Stacked-Hourglass-on-Pytorch-1.6
I realized Hourglass published on CVPR 2016 using pytorch 1.6
BoltenWang-Meta's Repositories
BoltenWang-Meta/Convolutional-Pose-Machine
realize CPM published on CVPR-20xx via Pytorch 1.6
BoltenWang-Meta/Stacked-Hourglass-on-Pytorch-1.6
I realized Hourglass published on CVPR 2016 using pytorch 1.6
BoltenWang-Meta/huge-filter-to-segment-or-detect-object
I designed an extremely huge filter to segment or detect objects.
BoltenWang-Meta/HRNet
I realized High Revolution Network published on CVPR2020 using Pytorch 1.6
BoltenWang-Meta/Awesome-Crowd-Localization
Awesome Crowd Localization
BoltenWang-Meta/Bayesian-Crowd-Counting
Official Implement of ICCV 2019 oral paper Bayesian Loss for Crowd Count Estimation with Point Supervision
BoltenWang-Meta/CCM
[ECCV2020] Content-Consistent Matching for Domain Adaptive Semantic Segmentation
BoltenWang-Meta/CLIP
Contrastive Language-Image Pretraining
BoltenWang-Meta/Counting-DETR
Few-shot Object Counting and Detection (ECCV 2022)
BoltenWang-Meta/DACS
Code from the paper "DACS: Domain Adaptation via Cross-domain Mixed Sampling"
BoltenWang-Meta/CrowdCounting-UEPNet
The official codes for the ICCV2021 presentation "Uniformity in Heterogeneity: Diving Deep into Count Interval Partition for Crowd Counting"
BoltenWang-Meta/DADA
Depth-aware Domain Adaptation in Semantic Segmentation
BoltenWang-Meta/DIDA
Pytorch implementation for "Dynamic Instance Domain Adaptation" (DIDA-Net).
BoltenWang-Meta/DRNet
PyTorch implementations of the paper: "DR.VIC: Decomposition and Reasoning for Video Individual Counting, CVPR, 2022"
BoltenWang-Meta/IIM
PyTorch implementations of the paper: "Learning Independent Instance Maps for Crowd Localization"
BoltenWang-Meta/Juncheng.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
BoltenWang-Meta/JunchengWang.github.io
AcadHomepage: A Modern and Responsive Academic Personal Homepage
BoltenWang-Meta/LaTeX-Template-For-NPU-Thesis
西北工业大学本科毕业设计论文模版 | Thesis Template for Northwestern Polytechnical University
BoltenWang-Meta/RepLKNet-pytorch