# Image Retrieval and Classification Techniques

**Type:** Topics  
**Canonical URL:** https://scholariq.org/topics/image-retrieval-and-classification-techniques/

## Facts

| Field | Value |
| --- | --- |
| Description | This cluster of papers focuses on shape matching, object recognition, and content-based image retrieval using techniques such as local binary patterns, feature descriptors, and rotation-invariant methods. It also explores the application of these methods in medical imaging, semantic relevance modeling, and machine learning for image annotation. |
| Domain | Physical Sciences |
| Field | Computer Science |
| OpenAlex ID | t10824 |
| Works | 166 |

## Topic papers all

Showing 15 of 166.

- [ImageNet: A large-scale hierarchical image database](https://scholariq.org/papers/imagenet-a-large-scale-hierarchical-image-database/)
- [ImageNet Large Scale Visual Recognition Challenge](https://scholariq.org/papers/imagenet-large-scale-visual-recognition-challenge/)
- [Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations](https://scholariq.org/papers/visual-genome-connecting-language-and-vision-using-crowdsourced-dense-image/)
- [A Bayesian Hierarchical Model for Learning Natural Scene Categories](https://scholariq.org/papers/a-bayesian-hierarchical-model-for-learning-natural-scene-categories/)
- [Automatic parcellation of human cortical gyri and sulci using standard anatomical nomenclature](https://scholariq.org/papers/automatic-parcellation-of-human-cortical-gyri-and-sulci-using-standard/)
- [One-shot learning of object categories](https://scholariq.org/papers/one-shot-learning-of-object-categories/)
- [ShapeNet: An Information-Rich 3D Model Repository](https://scholariq.org/papers/shapenet-an-information-rich-3d-model-repository-2/)
- [Deep Recurrent Neural Networks for Hyperspectral Image Classification](https://scholariq.org/papers/deep-recurrent-neural-networks-for-hyperspectral-image-classification/)
- [Large-scale image retrieval with compressed Fisher vectors](https://scholariq.org/papers/large-scale-image-retrieval-with-compressed-fisher-vectors/)
- [A Comprehensive Performance Evaluation of 3D Local Feature Descriptors](https://scholariq.org/papers/a-comprehensive-performance-evaluation-of-3d-local-feature-descriptors/)
- [Multiscale Dynamic Graph Convolutional Network for Hyperspectral Image Classification](https://scholariq.org/papers/multiscale-dynamic-graph-convolutional-network-for-hyperspectral-image/)
- [Face recognition using temporal image sequence](https://scholariq.org/papers/face-recognition-using-temporal-image-sequence/)
- [Multiple-Instance Active Learning](https://scholariq.org/papers/multiple-instance-active-learning/)
- [Comparative Validation of Polyp Detection Methods in Video Colonoscopy: Results From the MICCAI 2015 Endoscopic Vision Challenge](https://scholariq.org/papers/comparative-validation-of-polyp-detection-methods-in-video-colonoscopy-results/)
- [Textfinder: an automatic system to detect and recognize text in images](https://scholariq.org/papers/textfinder-an-automatic-system-to-detect-and-recognize-text-in-images/)

## Topic primary papers

Showing 15 of 30.

- [A Bayesian Hierarchical Model for Learning Natural Scene Categories](https://scholariq.org/papers/a-bayesian-hierarchical-model-for-learning-natural-scene-categories/)
- [ShapeNet: An Information-Rich 3D Model Repository](https://scholariq.org/papers/shapenet-an-information-rich-3d-model-repository-2/)
- [A New Local Adaptive Thresholding Technique in Binarization](https://scholariq.org/papers/a-new-local-adaptive-thresholding-technique-in-binarization/)
- [A large-scale hierarchical image database](https://scholariq.org/papers/a-large-scale-hierarchical-image-database/)
- [Multiscale Medial Loci and Their Properties](https://scholariq.org/papers/multiscale-medial-loci-and-their-properties/)
- [Trademark image retrieval using synthetic features for describing global shape and interior structure](https://scholariq.org/papers/trademark-image-retrieval-using-synthetic-features-for-describing-global-shape/)
- [A genetic Algorithm-Based feature selection](https://scholariq.org/papers/a-genetic-algorithm-based-feature-selection/)
- [<title>Perceptual image similarity experiments</title>](https://scholariq.org/papers/and-lt-title-and-gt-perceptual-image-similarity-experiments-and-lt-title-and-gt/)
- [Multidisciplinary Pattern Recognition applications: A review](https://scholariq.org/papers/multidisciplinary-pattern-recognition-applications-a-review/)
- [Image annotation: Then and now](https://scholariq.org/papers/image-annotation-then-and-now/)
- [Gray Level Co-Occurrence Matrix Computation Based On Haar Wavelet](https://scholariq.org/papers/gray-level-co-occurrence-matrix-computation-based-on-haar-wavelet/)
- [Unsupervised Segmentation of Remote Sensing Images using FD Based Texture Analysis Model and ISODATA](https://scholariq.org/papers/unsupervised-segmentation-of-remote-sensing-images-using-fd-based-texture/)
- [Batik Image Classification Using Treeval and Treefit as Decision Tree Function in Optimizing Content Based Batik Image Retrieval](https://scholariq.org/papers/batik-image-classification-using-treeval-and-treefit-as-decision-tree-function/)
- [Weighted Pseudometric Discriminatory Power Improvement Using a Bayesian Logistic Regression Model Based on a Variational Method](https://scholariq.org/papers/weighted-pseudometric-discriminatory-power-improvement-using-a-bayesian-logistic/)
- [Ensembling of text and images using Deep Convolutional Neural Networks for Intelligent Information Retrieval](https://scholariq.org/papers/ensembling-of-text-and-images-using-deep-convolutional-neural-networks-for/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.