20 skills found
NikolaZubic / 2dimageto3dmodelWe 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.
yewsiang / ConceptBottleneckConcept Bottleneck Models, ICML 2020
lvyilin / Pytorch Fgvc DatasetPyTorch custom dataset APIs -- CUB-200-2011, Stanford Dogs, Stanford Cars, FGVC Aircraft, NABirds, Tiny ImageNet, iNaturalist2017
iamhankai / Attribute Aware Attention[ACM MM 2018] Attribute-Aware Attention Model for Fine-grained Representation Learning
zxhuang1698 / Interpretability By PartsCode repository for "Interpretable and Accurate Fine-grained Recognition via Region Grouping", CVPR 2020 (Oral)
TDeVries / Cub2011 DatasetPyTorch dataset for CUB-200-2011
ahmdtaha / Tf Retrieval BaselineA Tensorflow retrieval (space embedding) baseline. Metric learning baseline on CUB and Stanford Online Products.
yaorong0921 / CUB GHAThis repo includes the CUB-GHA (Gaze-based Human Attention) dataset and code of the paper "Human Attention in Fine-grained Classification".
Muhammad-MujtabaSaeed / Caltech Birds ClassificationThis repo includes code (written in Python) for Caltech-UCSD Birds-200-2011 dataset classification. I have used PyTorch Library for CNN's. You can download the dataset here http://www.vision.caltech.edu/visipedia-data/CUB-200-2011/CUB_200_2011.tgz
CraneHzm / Birds InceptionV3 BCNNInception V3 & Bilinear CNN tensorflow code for CUB-200-2011 Birds Dataset.
jc211 / Nerf Cube Diorama DatasetA NeRF dataset
cyizhuo / CUB 200 2011 DatasetCUB-200-2011 dataset by classes folder
irfanICMLL / InceptionV2 FinetuneFine-tuning of inceptionV2 on CUB-200 Birds dataset in Tensorflow
xiami2019 / Image Retrieve[SYSU 2019] A pytorch image retrieve model for CUB_200_2011 and Stanford Dogs datasets
loukai99 / CUB Feature ExtractionI extract the multiview features of CUB dataset. It contains two views, one of which is from image features extracted by GoogleNet(2048-dimension) and the other is from text features using doc2vec(300-dimension).
siddhartha296 / CLIP Novelty Detection For Bird SpeciesThis repo is a project that is trying to make AI models that are capable of detecting unseen categories (specifically we are using cub -200-2011 dataset of 200 bird species and training the model only on 150 bird species and 50 bird species are novel )that they never seen in the training .
mouniraziz / MsKPRNThe source code for Multi-Scale Kronecker-Product Relation Networks for Few-Shot Learning
rvpagehhj / VideoCube VastTrack UAV20L TLP Dataset For Pytracking在pytracking中加入VastTrack UAV20L TLP 数据集的测试，评估代码
nirmal-25 / Text To Image GANImplementation of GAN-based text-to-image models for a comparative study on the CUB and COCO datasets
ousscher / Bird Recognition DlThis project focuses on bird species recognition using image classification techniques. The dataset used is CUB-200-2011, a widely recognized dataset for fine-grained visual categorization, containing over 11,000 images across 200 bird species.
