jjysh014

jjysh014's Stars

• suhasmaddali/Steel-Defect-Detection-Challenge

  🔩 It would be really good if we are to predict the chances of defect occurring in steel so that necessary precautions could be taken during manufacture and during the construction of different sites with steel. In this machine learning project, we are going to be working with images of steel and their annotated examples and understand the defects that are present in steel respectively.

  Language:Python101

• cenkbircanoglu/isim

  Implementation of ISIM: Iterative Self-Improved Model for Weakly Supervised Segmentation

  Language:Python253

• jinhseo/OD-WSCL

  [ECCV2022] Official Pytorch Implementation of Object Discovery via Contrastive Learning for Weakly Supervised Object Detection

  Language:Python456

• Zaharah/indomain-cross-domain-transfer-learning

  2

• Zaharah/BiNet-bridge-visual-inspection-dataset

  52

• Zaharah/Contrastive-Sensor-Transformer

  Language:Jupyter Notebook4

• phiyodr/building-inspection-toolkit

  Building Inspection Toolkit

  Language:Jupyter Notebook175

• yanliang-wang/FAST_LIO_LC

  The tight integration of FAST-LIO with Radius-Search-based loop closure module.

  Language:C++39379

• zhaoxin94/awesome-domain-adaptation

  A collection of AWESOME things about domian adaptation

  5.1k869

• hku-mars/FAST-LIVO

  A Fast and Tightly-coupled Sparse-Direct LiDAR-Inertial-Visual Odometry (LIVO).

  Language:C++1.2k197

• HKUST-Aerial-Robotics/GVINS

  Tightly coupled GNSS-Visual-Inertial system for locally smooth and globally consistent state estimation in complex environment.

  Language:C++898237

• zhang-tao-whu/e2ec

  E2EC: An End-to-End Contour-based Method for High-Quality High-Speed Instance Segmentation

  Language:Python21746

• toidicode/template

  Share 100 templates HTML5 CSS3 for developer or beginner

  Language:HTML913441

• cviss-lab/XRIV

  Interactive Defect Quantification through Extended Reality

  Language:ShaderLab73

• michaelowenliu/awesome-interactive-segmentation

  A collection of AWESOME things about interactive segmentation.

  274

• SamsungLabs/ritm_interactive_segmentation

  Reviving Iterative Training with Mask Guidance for Interactive Segmentation

  Language:Python630125

• SamsungLabs/fbrs_interactive_segmentation

  [CVPR2020] f-BRS: Rethinking Backpropagating Refinement for Interactive Segmentation https://arxiv.org/abs/2001.10331

  Language:Jupyter Notebook58394

• liewjunhao/thin-object-selection

  Deep Interactive Thin Object Selection

  Language:Python8510

• HeYijia/PL-VIO

  monocular visual inertial system with point and line features

  Language:C++575136

• fidler-lab/curve-gcn

  Official PyTorch code for Curve-GCN (CVPR 2019)

  840134

• fidler-lab/polyrnn-pp-pytorch

  PyTorch training/tool code for Polygon-RNN++ (CVPR 2018)

  703106

• tensorflow/tpu

  Reference models and tools for Cloud TPUs.

  Language:Jupyter Notebook5.2k1.8k

• ai-pest/shapemask

  害虫識別AI　前景抽出器の学習・評価用プログラム

  Language:Python1

• NVlabs/DiscoBox

  The Official PyTorch Implementation of DiscoBox.

  Language:Python969

• AIMedLab/ecg-diagnosis

  Code and Datasets for the paper "Interpretable deep learning for automatic diagnosis of 12-lead electrocardiogram", published on iScience in 2021.

  Language:Python132

• cbasemaster/time-series-attribution

  Language:Python3

• KIT-ISAS/lili-om

  LiLi-OM is a tightly-coupled, keyframe-based LiDAR-inertial odometry and mapping system for both solid-state-LiDAR and conventional LiDARs.

  Language:C++548156

• xuebinqin/BASNet

  Code for CVPR 2019 paper. BASNet: Boundary-Aware Salient Object Detection

  Language:Python1.4k249

• jiwei0921/SOD-CNNs-based-code-summary-

  The summary of code and paper for salient object detection with deep learning.

  845149

• shuyonggao/PSOD

  Point Saliency

  Language:Python329