{"list":"other","total":54,"rows":[{"id":"1609.02907","title":"Semi-Supervised Classification with Graph Convolutional Networks","created":"2016-09-09","cited_by_count":11361},{"id":"1503.03832","title":"FaceNet: A Unified Embedding for Face Recognition and Clustering","created":"2015-03-12","cited_by_count":2849},{"id":"1911.11763","title":"SuperGlue: Learning Feature Matching with Graph Neural Networks","created":"2019-11-26","cited_by_count":1443},{"id":"1708.04896","title":"Random Erasing Data Augmentation","created":"2017-08-16","cited_by_count":1239},{"id":"1801.09414","title":"CosFace: Large Margin Cosine Loss for Deep Face Recognition","created":"2018-01-29","cited_by_count":971},{"id":"1704.08063","title":"SphereFace: Deep Hypersphere Embedding for Face Recognition","created":"2017-04-26","cited_by_count":737},{"id":"1609.01775","title":"Performance Measures and a Data Set for Multi-Target, Multi-Camera Tracking","created":"2016-09-06","cited_by_count":692},{"id":"2001.04193","title":"Deep Learning for Person Re-identification: A Survey and Outlook","created":"2020-01-13","cited_by_count":549},{"id":"1711.02512","title":"Fine-tuning CNN Image Retrieval with No Human Annotation","created":"2017-11-03","cited_by_count":499},{"id":"1711.08565","title":"Person Transfer GAN to Bridge Domain Gap for Person Re-Identification","created":"2017-11-23","cited_by_count":480},{"id":"1711.09349","title":"Beyond Part Models: Person Retrieval with Refined Part Pooling (and a Strong Convolutional Baseline)","created":"2017-11-26","cited_by_count":473},{"id":"1903.07071","title":"Bag of Tricks and A Strong Baseline for Deep Person Re-identification","created":"2019-03-17","cited_by_count":430},{"id":"2002.10857","title":"Circle Loss: A Unified Perspective of Pair Similarity Optimization","created":"2020-02-25","cited_by_count":403},{"id":"2005.10203","title":"Graph Structure Learning for Robust Graph Neural Networks","created":"2020-05-20","cited_by_count":371},{"id":"1701.08398","title":"Re-ranking Person Re-identification with k-reciprocal Encoding","created":"2017-01-29","cited_by_count":262},{"id":"1803.11285","title":"Revisiting Oxford and Paris: Large-Scale Image Retrieval Benchmarking","created":"2018-03-29","cited_by_count":191},{"id":"1906.08332","title":"A Strong Baseline and Batch Normalization Neck for Deep Person Re-identification","created":"2019-06-19","cited_by_count":155},{"id":"2007.13467","title":"Identity-Guided Human Semantic Parsing for Person Re-Identification","created":"2020-07-27","cited_by_count":118},{"id":"1709.02508","title":"Deep Subspace Clustering Networks","created":"2017-09-08","cited_by_count":94},{"id":"1804.07094","title":"Part-Aligned Bilinear Representations for Person Re-identification","created":"2018-04-19","cited_by_count":90},{"id":"2102.05644","title":"Training Vision Transformers for Image Retrieval","created":"2021-02-10","cited_by_count":90},{"id":"1611.05666","title":"A Discriminatively Learned CNN Embedding for Person Re-identification","created":"2016-11-17","cited_by_count":78},{"id":"1711.10378","title":"A Pose-Sensitive Embedding for Person Re-Identification with Expanded Cross Neighborhood Re-Ranking","created":"2017-11-28","cited_by_count":74},{"id":"1910.06827","title":"Learning Generalisable Omni-Scale Representations for Person Re-Identification","created":"2019-10-15","cited_by_count":74},{"id":"2103.03036","title":"A Survey on Graph Structure Learning: Progress and Opportunities","created":"2021-03-04","cited_by_count":71},{"id":"2103.12236","title":"Instance-level Image Retrieval using Reranking Transformers","created":"2021-03-22","cited_by_count":63},{"id":"2104.14913","title":"Learning Multi-Granular Hypergraphs for Video-Based Person Re-Identification","created":"2021-04-30","cited_by_count":63},{"id":"1711.08184","title":"AlignedReID: Surpassing Human-Level Performance in Person Re-Identification","created":"2017-11-22","cited_by_count":61},{"id":"2007.13172","title":"Learning and aggregating deep local descriptors for instance-level recognition","created":"2020-07-26","cited_by_count":55},{"id":"2108.02927","title":"DOLG: Single-Stage Image Retrieval with Deep Orthogonal Fusion of Local and Global Features","created":"2021-08-06","cited_by_count":54},{"id":"1710.06555","title":"Learning Deep Context-aware Features over Body and Latent Parts for Person Re-identification","created":"2017-10-18","cited_by_count":52},{"id":"1807.09975","title":"Person Re-identification with Deep Similarity-Guided Graph Neural Network","created":"2018-07-26","cited_by_count":49},{"id":"1703.05693","title":"SVDNet for Pedestrian Retrieval","created":"2017-03-16","cited_by_count":43},{"id":"1811.11405","title":"Spectral Feature Transformation for Person Re-identification","created":"2018-11-28","cited_by_count":39},{"id":"1905.06358","title":"Local Features and Visual Words Emerge in Activations","created":"2019-05-15","cited_by_count":37},{"id":"1909.02240","title":"Adaptive Graph Representation Learning for Video Person Re-identification","created":"2019-09-05","cited_by_count":34},{"id":"2009.10295","title":"Beyond Triplet Loss: Person Re-identification with Fine-grained Difference-aware Pairwise Loss","created":"2020-09-22","cited_by_count":32},{"id":"2007.04174","title":"Robust Re-Identification by Multiple Views Knowledge Distillation","created":"2020-07-08","cited_by_count":29},{"id":"2107.11878","title":"Spatio-Temporal Representation Factorization for Video-based Person Re-Identification","created":"2021-07-25","cited_by_count":29},{"id":"2012.07620","title":"Understanding Image Retrieval Re-Ranking: A Graph Neural Network Perspective","created":"2020-12-14","cited_by_count":24},{"id":"2103.09013","title":"Dense Interaction Learning for Video-based Person Re-identification","created":"2021-03-16","cited_by_count":24},{"id":"1908.01683","title":"Spatially and Temporally Efficient Non-local Attention Network for Video-based Person Re-Identification","created":"2019-08-05","cited_by_count":23},{"id":"2003.08069","title":"Multi-task Learning with Coarse Priors for Robust Part-aware Person Re-identification","created":"2020-03-18","cited_by_count":23},{"id":"1904.10596","title":"Neural Collaborative Subspace Clustering","created":"2019-04-24","cited_by_count":21},{"id":"2202.06014","title":"Multi-direction and Multi-scale Pyramid in Transformer for Video-based Pedestrian Retrieval","created":"2022-02-12","cited_by_count":17},{"id":"1711.10658","title":"Deep-Person: Learning Discriminative Deep Features for Person Re-Identification","created":"2017-11-29","cited_by_count":16},{"id":"1808.01911","title":"Where-and-When to Look: Deep Siamese Attention Networks for Video-based Person Re-identification","created":"2018-08-03","cited_by_count":14},{"id":"1811.01045","title":"Scalable Deep $k$-Subspace Clustering","created":"2018-11-02","cited_by_count":14},{"id":"2008.06181","title":"Apparel-invariant Feature Learning for Apparel-changed Person Re-identification","created":"2020-08-14","cited_by_count":10},{"id":"2112.06159","title":"Learning Token-based Representation for Image Retrieval","created":"2021-12-12","cited_by_count":10},{"id":"1607.05369","title":"A Multi-task Deep Network for Person Re-identification","created":"2016-07-19","cited_by_count":9},{"id":"2107.02220","title":"Graph Convolution for Re-ranking in Person Re-identification","created":"2021-07-05","cited_by_count":6},{"id":"2207.00287","title":"DALG: Deep Attentive Local and Global Modeling for Image Retrieval","created":"2022-07-01","cited_by_count":6},{"id":"2301.00531","title":"Multi-Stage Spatio-Temporal Aggregation Transformer for Video Person Re-identification","created":"2023-01-02","cited_by_count":5}],"next_cursor":null}