cub-dataset

There are 0 repository under cub-dataset topic.

2dimageto3dmodel
NikolaZubic / 2dimageto3dmodel
We evaluate our method on different datasets (including ShapeNet, CUB-200-2011, and Pascal3D+) and achieve state-of-the-art results, outperforming all the other supervised and unsupervised methods and 3D representations, all in terms of performance, accuracy, and training time.
3d-computer-graphics 3d-reconstruction pose-prediction single-view-reconstruction computer-vision computer-graphics kaolin pytorch deep-learning neural-networks loss-functions rendering gan shapenet shapenet-dataset cub-dataset pascal3d mesh voxel point-cloud
Language:Python 266
yewsiang / ConceptBottleneck
Concept Bottleneck Models, ICML 2020
computer-vision concept-bottleneck-models concepts cub-dataset interpretability interpretable-machine-learning osteoarthritis-initiative
Language:Python 158
iamhankai / attribute-aware-attention
[ACM MM 2018] Attribute-Aware Attention Model for Fine-grained Representation Learning
attention-mechanism convolutional-neural-networks cub-dataset fine-grained-classification fine-grained-visual-categorization person-reidentification representation-learning
Language:Python 156
zxhuang1698 / interpretability-by-parts
Code repository for "Interpretable and Accurate Fine-grained Recognition via Region Grouping", CVPR 2020 (Oral)
cvpr2020 explainable-ai interpretability fine-grained-classification part-based-models celeba-dataset cvpr-2020 cvpr-oral pytorch pytorch-implementation face-segmentation celeba weakly-supervised-segmentation weakly-supervised-localization cub-dataset
Language:Python 128
ahmdtaha / tf_retrieval_baseline
A Tensorflow retrieval (space embedding) baseline. Metric learning baseline on CUB and Stanford Online Products.
cub-200-2011 cub-dataset deep-learning deep-neural-networks embedding metric-learning python3 retrieval retrieving-images stanford-online tensorflow tensorflow-retrieval tensorflow1 tensorflow2
Language:Python 39
mouniraziz / MsKPRN
The source code for Multi-Scale Kronecker-Product Relation Networks for Few-Shot Learning
few-shot-learning relation-networks kronecker-product multi-scale convolutional-neural-networks deep-learning miniimagenet neural-network pytorch image-classification one-shot-learning cub-dataset stanford-cars stanford-dogs-dataset
Language:Python 5
mouniraziz / AGLRs
Official implementation of the paper: Learn to aggregate global and local representations for few-shot learning
few-shot-classifcation few-shot-learning global image-classification image-recognition k-nearest-neighbours local meta-learning metric-learning prototypes convolutional-neural-networks one-shot-learning pytorch cub-dataset miniimagenet stanford-cars stanford-dogs-dataset tiered-imagenet
Language:Python 3