Key papers

• Neural Vector Spaces For Unsupervised Information Retrieval (2017)
  Christophe van Gysel, Maarten de Rijke, Evangelos Kanoulas
  12.93
• Skeleton-dml: Deep Metric Learning For Skeleton-based One-shot Action Recognition (2020)
  Raphael Memmesheimer, Simon Häring, Nick Theisen, et al.
  12.17
• Attribute-aware Deep Hashing With Self-consistency For Large-scale Fine-grained Image Retrieval (2023)
  Xiu-Shen Wei, Yang Shen, Xuhao Sun, et al.
  11.76
• 3D Object Instance Recognition And Pose Estimation Using Triplet Loss With Dynamic Margin (2019)
  Sergey Zakharov, Wadim Kehl, Benjamin Planche, et al.
  11.76
• Wl-align: Weisfeiler-lehman Relabeling For Aligning Users Across Networks Via Regularized Representation Learning (2022)
  Li Liu, Penggang Chen, Xin Li, et al.
  10.35
• Deep Stochastic Spherical Hashing With Von Mises-Fisher Distributions for Cross-Modal Retrieval (2026)
  Qibing Qin et al.
  6.40
• Deep Softtriple hashing for Multi-Label cross-modal retrieval (2026)
  Shuo Han et al.
  6.40
• Exploring Human Perception-Aligned Perceptual Hashing (2026)
  Jelle De Geest et al.
  5.47
• Beyond Neighbourhood-preserving Transformations For Quantization-based Unsupervised Hashing (2021)
  Sobhan Hemati, H. R. Tizhoosh
  4.52
• Generalized Distribution-Free Semi-Supervised Learning with Risk Rewrite (2026)
  Yushi Hirose et al.
  4.33
• Bi-Level Collaborative Learning for Few-Shot Scribble-Supervised Medical Image Segmentation (2026)
  Xiang-Xiang Su et al.
  4.33
• RFHNet: Relational and Frequency-Aware Hashing Network for Large-Scale Fine-Grained Food Image Retrieval (2026)
  Junsong Wang et al.
  3.45
• Enabling 24-hour Agricultural Robotics: Unsupervised Day-to-Night Cross-Modal Image Translation for Nighttime Visual Navigation (2026)
  Robel Mamo et al.
  3.45
• Weakly Supervised Spatio-Temporal Candidate Discovery of Dairy Farm Sites from Seasonal Satellite Imagery (2026)
  Usman Haider et al.
  3.45
• Beyond Post-Quantization: Native Hash Learning with a Dedicated HASH Token (2026)
  Xinze Liu et al.
  1.94
• Degradation-based Augmented Training For Robust Individual Animal Re-identification (2026)
  Thanos Polychronou, Lukáš Adam, Viktor Penchev, et al.
  1.89
• Automated Lost & Found Retrieval System Using Deep learning and Geospatial Analysis (2026)
  S. Chinchmalatpure et al.
  1.89
• Self-Distilled Self-Supervised Hashing for Remote Sensing Image Retrieval (2026)
  Shishi Qiao et al.
  1.89
• Robust Domain Adaptive Hashing via Structural Noise Modeling and Correction (2026)
  Junsheng Wang et al.
  1.89
• Deep Semantic Tuplet-Based Hashing by Hypergraph Modeling for Cross-Modal Retrieval (2026)
  Qibing Qin et al.
  1.89
• End-to-End Academic Project Authenticity Verification and Enhancement Recommendation Solution via Blockchain Achoring, FAISS-Based Similarity Search, and Multi-Stage AI Analysis (2026)
  D. Haripriya et al.
  1.89
• Deep Graph Weighted Convolutional Neural Network for healthcare recommendation with semantic level similarity hashing (2026)
  T. Selvi et al.
  1.89
• Comparative Evaluation of Perceptual Hashing and Deep Embedding Methods for Robust and Efficient Image Deduplication (2026)
  Md Firoz Mahmud et al.
  1.89
• MoGEI-HashNet: Motion-Enhanced Gait Energy Image Hashing for Fast and Scalable Gait Retrieval (2026)
  P. Hrudya et al.
  1.89
• From Image Hashing to Scene Change Detection (2026)
  Anh-Kiet Duong and Marie-Claire Iatrides and Petra Gomez-Kr\"amer and Jean-Michel Carozza
  1.83
• Geometric Analysis of Self-Supervised Vision Representations for Semantic Image Retrieval (2026)
  Esteban Rodr\'iguez-Betancourt et al.
  1.78
• HMAR: Hierarchical Modality-Aware Expert and Dynamic Routing Medical Image Retrieval Architecture (2026)
  Aojie Yuan
  1.72
• Locality Sensitive Hashing in Hyperbolic Space (2026)
  Chengyuan Deng et al.
  1.72
• Learning-Based Hashing for ANN Search: Foundations and Early Advances (2025)
  Sean Moran
  1.44
• Neighbor Embeddings Using Unbalanced Optimal Transport Metrics (2025)
  Muhammad Rana et al.
  1.39
• Voronoi Diagram Encoded Hashing (2025)
  Yang Xu and Kai Ming Ting
  1.33
• F-Hash: Feature-Based Hash Design for Time-Varying Volume Visualization via Multi-Resolution Tesseract Encoding (2025)
  Jianxin Sun et al.
  1.28
• Locality-Sensitive Hashing for Efficient Hard Negative Sampling in Contrastive Learning (2025)
  Fabian Deuser et al.
  1.17
• Unsupervised Graph Embeddings for Session-based Recommendation with Item Features (2025)
  Andreas Peintner and Marta Moscati and Emilia Parada-Cabaleiro and Markus Schedl and Eva Zangerle
  1.00
• Unsupervised Graph Embeddings For Session-based Recommendation With Item Features (2025)
  Andreas Peintner, Marta Moscati, Emilia Parada-Cabaleiro, et al.
  1.00
• Impostor Networks For Fast Fine-grained Recognition (2018)
  Vadim Lebedev, Artem Babenko, Victor Lempitsky
  0.00
• Working Hard To Know Your Neighbor's Margins: Local Descriptor Learning Loss (2017)
  Anastasiya Mishchuk, Dmytro Mishkin, Filip Radenovic, et al.
  0.00
• Self-supervised Pretraining Of Graph Neural Network For The Retrieval Of Related Mathematical Expressions In Scientific Articles (2022)
  Lukas Pfahler, Katharina Morik
  0.00
• Fast Cross-Polytope Locality-Sensitive Hashing (2016)
  Christopher Kennedy et al.
  —
• Scalable and Sustainable Deep Learning via Randomized Hashing (2016)
  Ryan Spring et al.
  —
• Learning A Deep $\ell_\infty$ Encoder for Hashing (2016)
  Zhangyang Wang et al.
  —
• Scalable Gaussian Processes for Supervised Hashing (2016)
  Bahadir Ozdemir and Larry S. Davis
  —
• Supervised Incremental Hashing (2016)
  Bahadir Ozdemir and Mahyar Najibi and Larry S. Davis
  —
• Transfer Hashing with Privileged Information (2016)
  Joey Tianyi Zhou et al.
  —
• Functional Hashing for Compressing Neural Networks (2016)
  Lei Shi and Shikun Feng and Zhifan Zhu
  —
• Zero-Shot Hashing via Transferring Supervised Knowledge (2016)
  Yang Yang et al.
  —
• Deep Image Set Hashing (2016)
  Jie Feng et al.
  —
• Learning to Hash with Binary Deep Neural Network (2016)
  Thanh-Toan Do et al.
  —
• How should we evaluate supervised hashing? (2016)
  Alexandre Sablayrolles et al.
  —
• Zero Shot Hashing (2016)
  Shubham Pachori and Shanmuganathan Raman
  —
• End-to-end Learning of Deep Visual Representations for Image Retrieval (2016)
  Albert Gordo and Jon Almazan and Jerome Revaud and Diane Larlus
  —
• Semi-supervised deep learning by metric embedding (2016)
  Elad Hoffer et al.
  —
• Learning an Invariant Hilbert Space for Domain Adaptation (2016)
  Samitha Herath et al.
  —
• Fast Supervised Discrete Hashing and its Analysis (2016)
  Gou Koutaki et al.
  —
• Deep Metric Learning via Facility Location (2016)
  Hyun Oh Song et al.
  —
• Binary Subspace Coding for Query-by-Image Video Retrieval (2016)
  Ruicong Xu et al.
  —
• Revisiting Winner Take All (WTA) Hashing for Sparse Datasets (2016)
  Beidi Chen et al.
  —
• Learning to Hash-tag Videos with Tag2Vec (2016)
  Aditya Singh et al.
  —
• Structured Deep Hashing with Convolutional Neural Networks for Fast Person Re-identification (2017)
  Lin Wu et al.
  —
• Exemplar-Centered Supervised Shallow Parametric Data Embedding (2017)
  Martin Renqiang Min et al.
  —