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cub-dataset

Here are 7 public repositories matching this 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.

Updated Mar 4, 2024
Python

yewsiang / ConceptBottleneck

Concept Bottleneck Models, ICML 2020

computer-vision concepts interpretability interpretable-machine-learning cub-dataset concept-bottleneck-models osteoarthritis-initiative

Updated Feb 24, 2023
Python

iamhankai / attribute-aware-attention

[ACM MM 2018] Attribute-Aware Attention Model for Fine-grained Representation Learning

convolutional-neural-networks representation-learning attention-mechanism person-reidentification fine-grained-classification fine-grained-visual-categorization cub-dataset

Updated Aug 31, 2019
Python

zxhuang1698 / interpretability-by-parts

Code repository for "Interpretable and Accurate Fine-grained Recognition via Region Grouping", CVPR 2020 (Oral)

pytorch celeba interpretability celeba-dataset fine-grained-classification explainable-ai face-segmentation pytorch-implementation cub-dataset part-based-models weakly-supervised-segmentation weakly-supervised-localization cvpr2020 cvpr-2020 cvpr-oral

Updated Aug 27, 2020
Python

ahmdtaha / tf_retrieval_baseline

A Tensorflow retrieval (space embedding) baseline. Metric learning baseline on CUB and Stanford Online Products.

deep-neural-networks deep-learning retrieval tensorflow python3 metric-learning embedding stanford-online retrieving-images cub-200-2011 tensorflow2 cub-dataset tensorflow1 tensorflow-retrieval

Updated Oct 9, 2021
Python

mouniraziz / MsKPRN

The source code for Multi-Scale Kronecker-Product Relation Networks for Few-Shot Learning

deep-learning neural-network pytorch image-classification convolutional-neural-networks one-shot-learning relation-networks kronecker-product miniimagenet stanford-dogs-dataset multi-scale few-shot-learning stanford-cars cub-dataset

Updated Aug 21, 2023
Python

mouniraziz / AGLRs

Official implementation of the paper: Learn to aggregate global and local representations for few-shot learning

local pytorch global image-classification image-recognition metric-learning convolutional-neural-networks one-shot-learning prototypes k-nearest-neighbours meta-learning miniimagenet stanford-dogs-dataset few-shot-learning stanford-cars cub-dataset tiered-imagenet few-shot-classifcation

Updated Aug 21, 2023
Python

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