paper-with-me

CUB-200-2011

Caltech-UCSD Birds-200-2011

홈페이지 · 논문 2,235편

The Caltech-UCSD Birds-200-2011 (CUB-200-2011) dataset is the most widely-used dataset for fine-grained visual categorization task. It contains 11,788 images of 200 subcategories belonging to birds, 5,994 for training and 5,794 for testing. Each image has detailed annotations: 1 subcategory label, 15 part locations, 312 binary attributes and 1 bounding box. The textual information comes from [Reed et al.]( https://paperswithcode.com/paper/learning-deep-representations-of-fine-grained). They expand the CUB-200-2011 dataset by collecting fine-grained natural language descriptions. Ten single-sentence descriptions are collected for each image. The natural language descriptions are collected through the Amazon Mechanical Turk (AMT) platform, and are required at least 10 words, without any information of subcategories and actions. Source: Fine-grained Visual-textual Representation Learning Image Source: http://www.vision.caltech.edu/visipedia/CUB-200-2011.html

Images Chinese

벤치마크

Text-to-Image Generation on CUB 결과 100개
Few-Shot Image Classification on CUB 200 5-way 1-shot 결과 72개
Few-Shot Image Classification on CUB 200 5-way 5-shot 결과 64개
Fine-Grained Image Classification on CUB-200-2011 결과 60개
Metric Learning on CUB-200-2011 결과 30개
Cross-Domain Few-Shot on CUB 결과 27개
Long-tail learning with class descriptors on CUB-LT 결과 25개
Fine-Grained Image Classification on CUB-200-2011 결과 24개
Zero-Shot Learning on CUB-200-2011 결과 14개
Few-Shot Class-Incremental Learning on CUB-200-2011 결과 12개
Few-Shot Image Classification on CUB-200-2011 - 0-Shot 결과 10개
Weakly-Supervised Object Localization on CUB-200-2011 결과 10개
Few-Shot Image Classification on CUB 200 50-way (0-shot) 결과 8개
Image Attribution on CUB-200-2011 결과 8개
Image Retrieval on CUB-200-2011 결과 8개
Point-interactive Image Colorization on CUB-200-2011 결과 7개
Few-Shot Image Classification on CUB-200 - 0-Shot Learning 결과 6개
Generalized Few-Shot Learning on CUB 결과 5개
Concept-based Classification on CUB-200-2011 결과 4개
Error Understanding on CUB-200-2011 결과 4개
Graph Matching on CUB 결과 4개
Image Classification on CUB 결과 4개
Image Clustering on CUB Birds 결과 4개
Image Generation on CUB 128 x 128 결과 4개
Small Data Image Classification on CUB-200-2011, 30 samples per class 결과 4개
Generalized Zero-Shot Learning on CUB-200-2011 결과 3개
Single-View 3D Reconstruction on CUB-200-2011 결과 3개
Weakly-Supervised Object Localization on CUB-200-2011 결과 3개
Few-Shot Image Classification on CUB-200-2011 5-way (1-shot) 결과 2개
Few-Shot Image Classification on CUB-200-2011 5-way (5-shot) 결과 2개
Fine-Grained Image Classification on Imbalanced CUB-200-2011 결과 2개
Fine-Grained Image Recognition on CUB Birds 결과 2개
Fine-Grained Image Recognition on CUB-200-2011 결과 2개
Image Classification on CUB-200-2011 결과 2개
Image Classification on Imbalanced CUB-200-2011 결과 2개
Interpretable Machine Learning on CUB-200-2011 결과 2개
Metric Learning on CUB-200-2011 결과 2개
Multimodal Text and Image Classification on CUB-200-2011 결과 2개
Semantic correspondence on CUB-200-2011 결과 2개
Document Text Classification on CUB-200-2011 결과 1개
Fine-Grained Visual Recognition on CUB-200-2011 결과 1개
Image Clustering on CUB-200-2011 결과 1개
Multimodal Deep Learning on CUB-200-2011 결과 1개
Small Data Image Classification on CUB-200-2011, 5 samples per class 결과 1개
Transductive Zero-Shot Classification on CUB-200-2011 결과 1개
Weakly-Supervised Object Localization on CUB 결과 1개
Zero-Shot Learning on CUB-200 - 0-Shot Learning 결과 1개