megvii-research / RG-SENet_SP-SENet
PyTorch implementation of Delving Deep into Spatial Pooling for Squeeze-and-Excitation Networks.
☆17Updated 4 years ago
Related projects ⓘ
Alternatives and complementary repositories for RG-SENet_SP-SENet
- Code for our paper "Looking for the Devil in the Details: Learning Trilinear Attention Sampling Network for Fine-grained Image Recognitio…☆53Updated 3 years ago
- ☆72Updated 6 years ago
- Implementation for <Hierarchical Bilinear Pooling for Fine-Grained Visual Recognition> in ECCV'18.☆103Updated 2 years ago
- Code accompanying the paper Optimizing the F-measure for Threshold-free Salient Object Detection.☆29Updated 5 years ago
- Data-Driven Neuron Allocation for Scale Aggregation Networks☆52Updated 5 years ago
- An unofficial implementation of non-local deep features for salient object detection☆39Updated 5 years ago
- The source code of the ECCV 2018 paper: Fine-Grained Visual Categorization using Meta-Learning Optimization with Sample Selection of Auxi…☆27Updated 5 years ago
- Tensorflow implementation of deformable convnet on MNIST☆29Updated 7 years ago
- Pytorch version for 3D ResNet☆15Updated 5 years ago
- Code for Statistically-motivated Second-order Pooling, ECCV2018☆33Updated 5 years ago
- Unofficial implementation of Convolutional Block Attention Module (CBAM)☆98Updated 6 years ago
- Semantic Image Segmentation by Scale-Adaptive Networks (TIP 2019)☆43Updated 5 years ago
- Tensorflow Implementation of ChannelNets (NeurIPS 18)☆75Updated 5 years ago
- PFNet: A Novel Part Fusion Network for Fine-grained Visual Categorization☆27Updated 5 years ago
- ☆29Updated 5 years ago
- This is the PyTorch implementation of our paper "Cross-X learning for Fine-Grained Visual Categorization"☆74Updated 4 years ago
- PyTorch implementation of Double Attention Net☆26Updated 5 years ago
- Code for our NeurIPS'19 paper "Learning Deep Bilinear Transformation for Fine-grained Image Representation"☆105Updated 4 years ago
- Semi-supervised Adaptive Distillation is a model compression method for object detection.☆59Updated 5 years ago
- A MXNet implementation of Modified CBAMnet.mxnet☆39Updated 6 years ago
- Efficient HetConv: Heterogeneous Kernel-Based Convolutions for Deep CNNs☆41Updated 5 years ago
- Implementation of "Anchor Loss: Modulating loss scale based on prediction difficulty"☆53Updated 3 years ago
- Synchronized Multi-GPU Batch Normalization for PyTorch based on https://github.com/tamakoji/pytorch-syncbn☆12Updated 5 years ago
- pytorch codes☆51Updated 5 years ago
- ☆41Updated 7 years ago
- Progressive Transfer Learning for Person Re-identification published on IJCAI-2019☆26Updated 5 years ago
- A implementation of triplet loss with Pytorch☆16Updated 6 years ago