Fine-Grained Image Retrieval

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3 papers in the last four weeks, level with the four weeks before. 0.0% of all new papers.

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FM-ReID: Selective Competitive Token Routing for Object Re-Identification
Sep 29, 2026Zhiqi Li, Xiaowei Zhou, Zeyuan Sun +2Fine-Grained Image Retrieval Person Re-Identification
Faculty of Information Science and Engineering, Ocean University of China, Qingdao, China · Sanya Oceanographic Institution, Ocean University of China, Sanya, China
Vision Transformers versus convolutional neural networks for fine-grained orchid genus identification in a species-rich, data-poor flora: a controlled benchmark on the Orchidaceae of New Guinea
Sep 21, 2026Reza Saputra, Diah Harnoni Apriyanti, André Schuiteman +4Vision Transformer Fine-Grained Image Retrieval
College of Science and Engineering, James Cook University. McGregor Rd, Smithfield, Cairns, QLD 4878, Australia · Southwest Papua Natural Resources Conservation Agency, Ministry of Forestry, Indonesia. Jalan Klamono KM 16, Sorong, Southwest Papua Province, Indonesia · The Directorate of Scientific Collection Management, National Research and Innovation Agency (BRIN), Republic of Indonesia, Gedung Kehati, KST Soekarno BRIN, Jl. Raya Jakarta - Bogor KM 46, Cibinong, Kabupaten Bogor, Jawa Barat, 16911, Indonesia. +5
Automated Goldsmith's Mark Retrieval in Silverware
Sep 17, 2026Atmik Tiwari, Vincent Christlein, Mark Fichtner +5Fine-Grained Image Retrieval Cultural Heritage
Pattern Recognition Lab, FAU Erlangen-Nürnberg · Germanisches Nationalmuseum Nürnberg
POI-Loc: A Fine-Grained POI Localization Benchmark and an Asymmetric Global-to-Local Matching Method
Sep 2, 2026Lu Han, Xiting Sun, Hao Wang +4Image Matching Visual Place Recognition
Amap, Alibaba Group, Beijing, China
FaLCon: Facet-Anchored Retrieval with Late Consensus for Sim2Real Text-Based Person Anomaly Search
Aug 10, 2026Hieu Dinh Trung Pham, Phuong Huu Vu Tran, Thuan Duc Mai +6Fine-Grained Image Retrieval Sim-to-Real Transfer
PAMI Lab, Vietnamese-German University, Vietnam · Ho Chi Minh City University of Technology, Vietnam · Ho Chi Minh city University of Science, Vietnam +2
GRASP: Granularity-Aware Region Alignment and Semantic Prototype Learning for Fine-Grained Cross-Modal Understanding in Drone Views
Aug 10, 2026Jiahui Cui, Yan Zhao, Kan Wei +4Vision-Language Models Fine-Grained Image Retrieval
Aerospace Information Research Institute, Chinese Academy of Sciences · Key Laboratory of Target Cognition and Application Technology (TCAT), Beijing, China · University of Chinese Academy of Sciences, Beijing, China +1
KnifeHunter: Structured Local Representation Learning for Fine-Grained Knife Image Retrieval in Law Enforcement
Aug 7, 2026Syed Sameed Husain, Eng-Jon Ong, Stephen Simpson +3Fine-Grained Image Retrieval Digital Forensics
Centre for Vision, Speech and Signal Processing, University of Surrey, Guildford GU27XH, UK · Metropolitan Police UK
FiRE: Enhancing MLLMs with Fine-Grained Context Learning for Complex Image Retrieval
Jul 30, 2026Bohan Hou, Haoqiang Lin, Xuemeng Song +4Fine-Grained Image Retrieval Multimodal Large Language Models
Shandong University Qingdao, Shandong, China · City University of Hong Kong Hong kong, China · Harbin Institute of Technology (Shenzhen) Shenzhen, Guangdong, China +2
Fine-Grained Food Image Understanding via Target-Aware Data Alignment
Jul 28, 2026Jui-Feng Chi, Wei-Lun Chu, Bruce Coburn +2Fine-Grained Image Retrieval Fine-Grained Image Classification
Elmore Family School of Electrical and Computer Engineering Purdue University, West Lafayette, IN, USA
Sparse Attention for Dense Open-Vocabulary Prediction in CLIP
Jul 8, 2026Fatimah Zohra, Chen Zhao, Shuming Liu +1Visual Attention Fine-Grained Image Retrieval
King Abdullah University of Science and Technology (KAUST) · Harbin Institute of Technology, Shenzhen
RFHNet: Relational and Frequency-Aware Hashing Network for Large-Scale Fine-Grained Food Image Retrieval
Jul 7, 2026Junsong Wang, Weiqing Min, Guorui Sheng +3Image Matching Fine-Grained Image Retrieval
College of Computer Science and Artificial Intelligence, Ludong University Yantai, China · Institute of Computing Technology, Chinese Academy of Sciences Beijing, China · University of Chinese Academy of Sciences Beijing, China
LARE: Low-Attention Region Encoding for Text-Image Retrieval
Jun 17, 2026Abdulmalik Alquwayfili, Faisal Almeshal, Jumanah Almajnouni +8Visual Representation Learning Fine-Grained Image Retrieval
Saudi Data and Artificial Intelligence Authority (SDAIA), Riyadh, Saudi Arabia.
Beyond Scalar Distances: Semantic Attribute Gradients from Frozen MLLMs for Visual Embeddings
Jun 13, 2026Shubhang Bhatnagar, Dheeraj Baiju, Narendra AhujaVisual Representation Learning Fine-Grained Image Retrieval
University of Illinois Urbana-Champaign
VietFashion: Benchmarking Sketch-Text Composed Image Retrieval for Cultural Outfits
Jun 11, 2026Hoang-Nguyen Cao, Le-Hoang Bui, Dinh-Khoi Vo +2Fine-Grained Image Retrieval Image-Text Retrieval
University of Science · Ho Chi Minh City, Vietnam · Vietnam National University
TIGER-FG: Text-Guided Implicit Fine-Grained Grounding for E-commerce Retrieval
May 18, 2026Xinyu Sun, Huangyu Dai, Lingtao Mao +5Multimodal IR Multimodal Grounding
Kuaishou Technology · Beijing, China
Collision-Resistant Single-Pass Method for Unsupervised Fine-Grained Image Hashing
May 18, 2026Anh-Kiet Duong, Petra Gomez-Krämer, Jean-Michel CarozzaFine-Grained Image Retrieval Image Retrieval
L3i Laboratory, La Rochelle University, 17042 La Rochelle Cedex 1, France · LIENSs Laboratory, La Rochelle University, 17042 La Rochelle Cedex 1, France
What Matters for Grocery Product Retrieval with Open Source Vision Language Models
May 18, 2026Emmanuel G. Maminta, Rowel O. AtienzaVLM Evaluation Fine-Grained Image Retrieval
AI Graduate Program, University of the Philippines, Diliman, Quezon City · EEEI, University of the Philippines, Diliman, Quezon City
Learning to Align Generative Appearance Priors for Fine-grained Image Retrieval
May 11, 2026Shijie Wang, Yadan Luo, Zijian Wang +2Visual Representation Learning Fine-Grained Image Retrieval
The University of Queensland, Australia · The University of Adelaide, Australia
T2I-VeRW: Part-level Fine-grained Perception for Text-to-Image Vehicle Retrieval
May 7, 2026Xiao Wang, Ziwen Wang, Weizhe Kong +5Fine-Grained Image Retrieval Cross-Modal Retrieval
Sketch and Text Synergy: Fusing Structural Contours and Descriptive Attributes for Fine-Grained Image Retrieval
Apr 17, 2026Siyuan Wang, Hanchen Gao, Guangming Zhu +5Cross-Modal Representation Learning Fine-Grained Image Retrieval
Xidian University · First Aircraft Design Institute

Sep 29, 2026, cs.CVJ/K move · Enter open · S save

FM-ReID: Selective Competitive Token Routing for Object Re-Identification

Zhiqi Li, Xiaowei Zhou, Zeyuan Sun, Feng Gao+1

Faculty of Information Science and Engineering, Ocean University of China, Qingdao, China · Sanya Oceanographic Institution, Ocean University of China, Sanya, China

Fine-Grained Image Retrieval Person Re-Identification

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Object re-identification (ReID) faces a recurring challenge: different identities can share highly similar global appearances, while the cues that distinguish them are localized, heterogeneous, and visible only under particular viewpoints. This challenge arises in animal ReID through markings, contours, and scars, in person ReID through subtle clothing and accessory cues, and in vehicle ReID through localized appearance details. Although visual foundation models encode such information in dense tokens, a single holistic descriptor can obscure discriminative local signals. We propose FM-ReID, an end-to-end framework that formulates local representation learning as selective competitive token routing. Its Competitive Fine-grained Mining module uses multiple mining queries and a residual query to compete for dense DINOv3 tokens. Above-prior selection retains tokens preferentially allocated to each mining query, while the residual slot receives tokens excluded from the retrieval descriptors. The resulting multi-query descriptors are jointly trained with a holistic representation for retrieval, without fixed spatial partitions or equal-area constraints. FM-ReID achieves strong results on animal, person, and vehicle ReID benchmarks, supporting competitive token routing as an effective way to augment holistic foundation-model representations.

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