richardaecn / cvpr18-inaturalist-transfer
Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning. CVPR 2018
☆195Updated 6 years ago
Related projects ⓘ
Alternatives and complementary repositories for cvpr18-inaturalist-transfer
- Code for the ECCV 2018 paper "Pairwise Confusion for Fine-Grained Visual Classification"☆201Updated 6 years ago
- [ACM MM 2018] Attribute-Aware Attention Model for Fine-grained Representation Learning☆157Updated 5 years ago
- (CVPR2018) Adversarial Complementary Learning for Weakly Supervised Object Localization☆164Updated 6 years ago
- @CVPR2018: Efficient unrolling iterative matrix square-root normalized ConvNets, implemented by PyTorch (and code of B-CNN,Compact biline…☆270Updated 3 years ago
- PyTorch implementation of "Soft Proposal Networks for Weakly Supervised Object Localization", ICCV 2017.☆212Updated 6 years ago
- Attention-based Dropout Layer for Weakly Supervised Object Localization (CVPR 2019 Oral)☆196Updated 4 years ago
- Trilinear Attention Sampling Network for Fine-grained Image Recognition☆219Updated 2 years ago
- Implementation of Hardness-Aware Deep Metric Learning (CVPR 2019 Oral) in Tensorflow.☆151Updated 4 years ago
- CurriculumNet: Weakly Supervised Learning from Large-Scale Web Images☆158Updated 4 years ago
- (ECCV2018) Self-produced Guidance for Weakly-supervised Object Localization☆146Updated 4 years ago
- The official TensorFlow implementation of WS-DAN.☆111Updated 4 years ago
- Contains implementation of Guided Attention Inference Network (GAIN) presented in Tell Me Where to Look(CVPR 2018). This repository aims …☆235Updated 6 years ago
- Synchronized Multi-GPU Batch Normalization☆223Updated 5 years ago
- This is a PyTorch implementation of the ECCV2018 paper "Learning to Navigate for Fine-grained Classification" (Ze Yang, Tiange Luo, Dong …☆452Updated 3 years ago
- The saliency-based is a distortion layer for convolutional neural networks that helps to improve the spatial sampling of input data for a…☆163Updated 6 years ago
- Caffe codes for our papers "Multiple Instance Detection Network with Online Instance Classifier Refinement" and "PCL: Proposal Cluster Le…☆220Updated 3 years ago
- Compact Generalized Non-local Network (NIPS 2018)☆260Updated 3 years ago
- Pytorch Implementation of Visual Explanations from Deep Networks via Gradient-based Localization☆126Updated 6 years ago
- PyTorch code for softmax variants: center loss, cosface loss, large-margin gaussian mixture, COCOLoss, ring loss☆252Updated 6 years ago
- ☆144Updated 3 years ago
- PyTorch implementation of "WILDCAT: Weakly Supervised Learning of Deep ConvNets for Image Classification, Pointwise Localization and Segm…☆267Updated last year
- Implementation of our accepted CVPR 2018 paper "Rethinking Feature Distribution for Loss Functions in Image Classification"☆172Updated 6 years ago
- PyTorch Implementation Of WS-DAN(See Better Before Looking Closer: Weakly Supervised Data Augmentation Network for Fine-Grained Visual Cl…☆167Updated 3 years ago
- A Pytorch Implementation for Compact Bilinear Pooling.☆183Updated 3 years ago
- Weakly Supervised Instance Segmentation using Class Peak Response, in CVPR 2018 (Spotlight)☆346Updated 6 years ago
- Auto-Encoding Transformations (AETv1), CVPR 2019☆108Updated 5 years ago
- Adaptive Affinity Fields for Semantic Segmentation☆262Updated 6 years ago
- Visual Attention Consistency Under Image Transforms for Multi-Label Image Classification☆93Updated 5 years ago
- Code for our NeurIPS'19 paper "Learning Deep Bilinear Transformation for Fine-grained Image Representation"☆105Updated 4 years ago
- Revisiting RCNN: On Awakening the Classification Power of Faster RCNN (ECCV 2018)☆167Updated 4 years ago