{"about":{"non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","site":"https://codewithpapers.app","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page","syntology":{"site":"https://syntology.ai","developers":"https://syntology.ai/developers","mcp":{"server":"https://syntology.ai/mcp","transport":"streamable-http","server_card":"https://syntology.ai/.well-known/mcp/server-card.json","auth":{"type":"trial token, no account","trial_token":"https://syntology.ai/api/oauth/trial/token","method":"POST","docs":"https://syntology.ai/developers"}},"have":"https://syntology.ai/api/graph/have?x=<method, arXiv id or title> (free, answers coverage only)","paper_base":"https://syntology.ai/paper/","atlas_base":"https://app.syntology.ai/?focus="},"machine_readable":[{"url":"https://codewithpapers.app/llms.txt","what":"the machine catalog: every machine-readable file, counted"},{"url":"https://codewithpapers.app/index/manifest.json","what":"paper-to-code index by arXiv id, with Syntology's counts"},{"url":"https://codewithpapers.app/search/manifest.json","what":"site search index (titles, authors) and its files"},{"url":"https://codewithpapers.app/download","what":"bulk files: Syntology's layer, described there"},{"url":"https://codewithpapers.app/build_manifest.json","what":"the build record: inputs, counts, exclusions, probes"}]},"url":"/task/image-retrieval/papers/23","list_of":"/task/image-retrieval","task":"Image Retrieval","archive":{"snapshot":"2025-07-28"},"key_notes":{"n_ran_checked":"legacy name, kept unchanged so existing readers do not break: it counts the samples that ran with no instrument failure (honoured, violated, and ran with no contract checked); it does not mean a contract was checked, and the pages print it as 'K with no instrument failure', not 'K checked'","n_constructed":"a sub-count of the samples that ran, never subtracted from them and never a failure: an executed sample whose run returned an instance of its own class (fixture_out_type equals the entry name): the run built an object and did not compute a result (Syntology's RAN record, counts.constructed)"},"syntology_read_at":"2026-09-28T10:30:06+00:00","order":"archive","order_definition":"repositories listed in the archive (most first), then date (newest first), then slug","page":23,"pages_in_order":23,"rows_per_page":100,"rows":[2201,2239],"of":2239,"counts":{"archive_papers_tagged":2239,"with_a_code_link":835,"where_syntology_ran_a_sample":218,"not_listed_spam_title":0,"listed":2239,"listed_where_code_ran":218,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":185,"every_run_a_failure_of_syntologys_instrument":33,"listed_with_a_run_with_no_instrument_failure":185,"listed_every_run_a_failure_of_syntologys_instrument":33,"filter":{"states":["a run with no instrument failure","any run, instrument failures included"],"default":"a run with no instrument failure","note":"on the 'only where code ran' pages the default hides, in the browser, the rows where every run was a failure of Syntology's instrument; the second state shows them again. Rows are hidden, never re-ordered; these twins list every row"}},"definition":"distinct papers the archive tags; 'where Syntology ran a sample' counts papers with at least one harvested sample that ran, which is not a correctness claim"},"first_page":"/task/image-retrieval","prev":"/task/image-retrieval/papers/22","next":null,"papers":[{"url":null,"slug":"fast-approximate-k-means-via-cluster-closures","title":"Fast Approximate $K$-Means via Cluster Closures","date":"2013-12-11","arxiv_id":"1312.3061","repositories_listed":0,"syntology":null},{"url":null,"slug":"an-alternate-approach-for-designing-a-domain","title":"An Alternate Approach for Designing a Domain Specific Image Search Prototype Using Histogram","date":"2013-11-28","arxiv_id":"1401.2902","repositories_listed":0,"syntology":null},{"url":null,"slug":"experiments-of-distance-measurements-in-a","title":"Experiments of Distance Measurements in a Foliage Plant Retrieval System","date":"2013-11-20","arxiv_id":"1401.3584","repositories_listed":0,"syntology":null},{"url":null,"slug":"image-description-using-visual-dependency","title":"Image Description using Visual Dependency Representations","date":"2013-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"models-of-semantic-representation-with-visual","title":"Models of Semantic Representation with Visual Attributes","date":"2013-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"vsem-an-open-library-for-visual-semantics","title":"VSEM: An open library for visual semantics representation","date":"2013-08-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"content-based-image-retrieval-system-using","title":"Content Based Image Retrieval System using Feature Classification with Modified KNN Algorithm","date":"2013-07-17","arxiv_id":"1307.4717","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-sub-block-based-image-retrieval-using","title":"A Sub-block Based Image Retrieval Using Modified Integrated Region Matching","date":"2013-07-05","arxiv_id":"1307.1561","repositories_listed":0,"syntology":null},{"url":null,"slug":"further-results-on-dissimilarity-spaces-for","title":"Further results on dissimilarity spaces for hyperspectral images RF-CBIR","date":"2013-07-04","arxiv_id":"1307.1289","repositories_listed":0,"syntology":null},{"url":null,"slug":"analysing-word-importance-for-image","title":"Analysing Word Importance for Image Annotation","date":"2013-06-20","arxiv_id":"1306.4758","repositories_listed":0,"syntology":null},{"url":null,"slug":"better-exploiting-motion-for-better-action","title":"Better Exploiting Motion for Better Action Recognition","date":"2013-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"detecting-and-aligning-faces-by-image","title":"Detecting and Aligning Faces by Image Retrieval","date":"2013-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"domain-independent-captioning-of-domain","title":"Domain-Independent Captioning of Domain-Specific Images","date":"2013-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"event-recognition-in-videos-by-learning-from","title":"Event Recognition in Videos by Learning from Heterogeneous Web Sources","date":"2013-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"exploring-implicit-image-statistics-for","title":"Exploring Implicit Image Statistics for Visual Representativeness Modeling","date":"2013-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-hierarchical-linguistic-descriptions","title":"Learning Hierarchical Linguistic Descriptions of Visual Datasets","date":"2013-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"lp-norm-idf-for-large-scale-image-search","title":"Lp-Norm IDF for Large Scale Image Search","date":"2013-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-attribute-queries-to-merge-or-not-to","title":"Multi-attribute Queries: To Merge or Not to Merge?","date":"2013-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"representing-topics-using-images","title":"Representing Topics Using Images","date":"2013-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"umbc_ebiquity-core-semantic-textual","title":"UMBC\\_EBIQUITY-CORE: Semantic Textual Similarity Systems","date":"2013-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"image-retrieval-based-on-bag-of-words-model","title":"Image Retrieval based on Bag-of-Words model","date":"2013-04-18","arxiv_id":"1304.5168","repositories_listed":0,"syntology":null},{"url":null,"slug":"image-classification-by-feature-dimension","title":"Image Classification by Feature Dimension Reduction and Graph based Ranking","date":"2013-04-09","arxiv_id":"1304.2683","repositories_listed":0,"syntology":null},{"url":null,"slug":"image-retrieval-using-histogram-factorization","title":"Image Retrieval using Histogram Factorization and Contextual Similarity Learning","date":"2013-04-07","arxiv_id":"1304.1995","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-multi-view-embedding-space-for-modeling","title":"A Multi-View Embedding Space for Modeling Internet Images, Tags, and their Semantics","date":"2012-12-18","arxiv_id":"1212.4522","repositories_listed":0,"syntology":null},{"url":null,"slug":"near-optimal-map-inference-for-determinantal","title":"Near-Optimal MAP Inference for Determinantal Point Processes","date":"2012-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"comparative-study-and-optimization-of-feature","title":"Comparative Study and Optimization of Feature-Extraction Techniques for Content based Image Retrieval","date":"2012-08-30","arxiv_id":"1208.6335","repositories_listed":0,"syntology":null},{"url":null,"slug":"image-labeling-on-a-network-using-social","title":"Image Labeling on a Network: Using Social-Network Metadata for Image Classification","date":"2012-07-16","arxiv_id":"1207.3809","repositories_listed":0,"syntology":null},{"url":null,"slug":"measuring-semantic-relatedness-using","title":"Measuring Semantic Relatedness using Multilingual Representations","date":"2012-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"apples-to-oranges-evaluating-image","title":"Apples to Oranges: Evaluating Image Annotations from Natural Language Processing Systems","date":"2012-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"detecting-visual-text","title":"Detecting Visual Text","date":"2012-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"webannotator-an-annotation-tool-for-web-pages","title":"WebAnnotator, an Annotation Tool for Web Pages","date":"2012-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"computing-similarity-between-cultural","title":"Computing Similarity between Cultural Heritage Items using Multimodal Features","date":"2012-04-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"nested-graph-words-for-object-recognition","title":"Nested Graph Words for Object Recognition","date":"2011-06-14","arxiv_id":"1106.2729","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-feature-selection-method-for-multivariate","title":"A Feature Selection Method for Multivariate Performance Measures","date":"2011-03-05","arxiv_id":"1103.1013","repositories_listed":0,"syntology":null},{"url":null,"slug":"exploiting-weakly-labeled-web-images-to","title":"Exploiting weakly-labeled Web images to improve object classification: a domain adaptation approach","date":"2010-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"filtering-abstract-senses-from-image-search","title":"Filtering Abstract Senses From Image Search Results","date":"2009-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"sketch2photo-internet-image-montage","title":"Sketch2Photo: Internet Image Montage","date":"2009-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"unsupervised-learning-of-visual-sense-models","title":"Unsupervised Learning of Visual Sense Models for Polysemous Words","date":"2008-12-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"image-segmentation-by-uniform-color","title":"Image Segmentation by Uniform Color Clustering Approach and Benchmark Results","date":"2005-06-03","arxiv_id":null,"repositories_listed":0,"syntology":null}],"record_sha256":"39ffd58b9bf564a159179330ab4eaa7b811e5185167e3d53182199f2442b1e6a","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}