67 datasets found

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  • Sampling Matters in Deep Embedding Learning

    Deep embeddings answer one simple question: How similar are two images? Learning these embeddings is the bedrock of verification, zero-shot learning, and visual search.

  • Investigating the Vision Transformer Model for Image Retrieval Tasks

    The paper introduces a plug-and-play descriptor that can be effectively adopted for image retrieval tasks without prior initialization or preparation.

  • Evaluation of gist descriptors for web-scale image search

    The dataset used in the paper is a benchmark for image retrieval.

  • S2R2

    Self-supervised visual representation learning framework for ranking random image views.

  • Holidays dataset

    The Holidays dataset is used for testing the performance of the HAE on visual feature translation.

  • MultiGrain

    MultiGrain is a network architecture producing compact vector representations that are suited both for image classification and particular object retrieval.

  • Zappos50K

    Fine-grained visual comparisons with local learning. This dataset comprises 50,025 shoe images. It consists of 4 attributes containing 34 classes each.

  • DARN

    An open dataset for attribute classification and street-to-shop image retrieval, comprising 253,983 images and 9 attributes. Each attribute contains 185 classes.

  • BMVC 2023

    Object-centric open-vocabulary image retrieval involves the retrieval of images containing a specified object of interest, delineated by an open-set text query.

  • Stanford Online Products

    The Stanford Online Products (SOP) dataset contains 120,053 product images covering 22,634 categories. The training set is composed of 59,551 images of the first 11,318...

  • FS-COCO

    FS-COCO: A large-scale scene sketch dataset with fine-grained alignment among sketch, text, and photo.

  • SketchyCOCO

    SketchyCOCO: A large-scale scene sketch dataset with fine-grained alignment among sketch, text, and photo.

  • CUB200, Cars-196, and Stanford Online Products

    The dataset used for experiments on generic image retrieval, person re-identification, and low-shot semantic segmentation.

  • BSD100

    The dataset used in the paper is a synthetic dataset for blind super-resolution, consisting of low-resolution images and their corresponding blur kernels.

  • RobotCar Seasons

    RobotCar Seasons dataset is a revision of the Oxford RobotCar dataset, which features both short-term and long-term environment evolutions, and therefore different conditions....

  • Deepfashion

    Deepfashion: Powering robust clothes recognition and retrieval with rich annotations.

  • YouTube dataset

    The dataset used in the paper is a large-scale graph dataset, consisting of users and shows with multi-attribute edges. The graph is constructed by selecting user IDs and side...

  • Products-10K

    The Products-10K dataset is a large-scale image retrieval dataset, containing images of products from an e-commerce website.

  • Google Landmarks 2020 Dataset

    The Google Landmarks 2020 Dataset is a large-scale image retrieval dataset, containing images of landmarks from around the world.

  • GUIE Challenge

    The Google Universal Image Embedding (GUIE) Challenge dataset is a large-scale image retrieval dataset, covering a wide distribution of objects: landmarks, artwork, food, etc.