artyompal / kaggle_google_landmarksLinks
A solution of the Google Landmark challenge on Kaggle
☆0Updated 7 years ago
Alternatives and similar repositories for kaggle_google_landmarks
Users that are interested in kaggle_google_landmarks are comparing it to the libraries listed below
Sorting:
- PKU_360 Team's fuse code! This code is used to fuse the semantic segmentation result and instance segmentation result. We won the third p…☆73Updated 5 years ago
- Code of Face-MagNet that was published in WACV18☆30Updated 7 years ago
- Switchable Normalization for semantic image segmentation and scene parsing.☆48Updated 6 years ago
- The code of Switchable Normalization for object detection based on Detectron.pytorch.☆79Updated 7 years ago
- ☆57Updated 6 years ago
- An implementation of our CVPR 2018 work 'Blazingly Fast Video Object Segmentation with Pixel-Wise Metric Learning'☆43Updated 6 years ago
- Code for "Jointly Optimize Data Augmentation and Network Training: Adversarial Data Augmentation in Human Pose Estimation" (CVPR 2018)☆84Updated 7 years ago
- Not All Pixels Are Equal: Difficulty-Aware Semantic Segmentation via Deep Layer Cascade☆108Updated 7 years ago
- MXNet implementation of Non-Local and Squeeze-Excitation network☆24Updated 7 years ago
- Code for our AAAI 2018 work.☆55Updated 5 years ago
- Project page for Heated-up Softmax Embedding☆43Updated 6 years ago
- AttentionMask: Attentive, Efficient Object Proposal Generation Focusing on Small Objects (ACCV 2018, accepted as oral)☆51Updated 2 years ago
- Kaggle Competition, Instance Segmentation☆86Updated 6 years ago
- FCOS: Fully Convolutional One-Stage Object Detection (ICCV'19) https://arxiv.org/abs/1904.01355☆38Updated 5 years ago
- Tensorflow Implementation of ChannelNets (NeurIPS 18)☆76Updated 6 years ago
- [ICCV 2019 Oral] TA3N: https://github.com/cmhungsteve/TA3N (Most updated repo)☆45Updated 8 months ago
- CurriculumNet: Weakly Supervised Learning from Large-Scale Web Images☆15Updated 6 years ago
- Gluon to PyTorch deep neural network model converter☆72Updated 4 years ago
- Metric learning models in PyTorch with results on CUB2011, CARS196, Stanford Online Products☆66Updated 3 years ago
- Source code of paper: (not available now)☆92Updated 6 years ago
- ☆73Updated 6 years ago
- mixup: Beyond Empirical Risk Minimization☆99Updated 7 years ago
- All convolution operators replaced with coordinate convolutions☆36Updated 7 years ago
- Improving Object Detection from Scratch via Gated Feature Reuse (BMVC 2019)☆65Updated 5 years ago
- Reimplement DSOD: Learning Deeply Supervised Object Detectors from Scratch.☆70Updated 5 years ago
- Semantic Image Segmentation by Scale-Adaptive Networks (TIP 2019)☆43Updated 5 years ago
- Capsule research with our trivial contribution☆53Updated 6 years ago
- PyTorch implementation of Deep Randomized Ensembles for Metric Learning(ECCV2018)☆67Updated 5 years ago
- A Caffe2 implementation of ShuffleNet V2.☆25Updated 7 years ago
- Chainer Implementation of Parallel Grid Pooling for Data Augmentation☆42Updated 6 years ago