Cover Image

From Limited Labels to Open Domains:An Efficient Learning Method for Drone-view Geo-Localization

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chen, Zhongwei, Yang, Zhao-Xu, Rong, Hai-Jun, Lang, Jiawei, Li, Guoqi
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Information Retrieval
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Without Paired Labeled Data: End-to-End Self-Supervised Learning for Drone-view Geo-Localization
by: Chen, Zhongwei, et al.
Published: (2025)

Efficient Spike-driven Transformer for High-performance Drone-View Geo-Localization
by: Chen, Zhongwei, et al.
Published: (2025)

Modeling Domain and Feedback Transitions for Cross-Domain Sequential Recommendation
by: Zhang, Changshuo, et al.
Published: (2024)

Addressing Personalized Bias for Unbiased Learning to Rank
by: Niu, Zechun, et al.
Published: (2025)

Birds of a Feather Cluster Nearby: a Proximity-Aware Geo-Codebook for Local Service Recommendation
by: He, Tian, et al.
Published: (2026)

Unbiased Top-k Learning to Rank with Causal Likelihood Decomposition
by: Zhao, Haiyuan, et al.
Published: (2022)

Efficient Transfer Learning Framework for Cross-Domain Click-Through Rate Prediction
by: Liu, Qi, et al.
Published: (2024)

REAR: A Relevance-Aware Retrieval-Augmented Framework for Open-Domain Question Answering
by: Wang, Yuhao, et al.
Published: (2024)

Explainable Information Retrieval in the Audit Domain
by: Frummet, Alexander, et al.
Published: (2025)

OpenRAG: Optimizing RAG End-to-End via In-Context Retrieval Learning
by: Zhou, Jiawei, et al.
Published: (2025)

Rethinking Cross-Domain Sequential Recommendation under Open-World Assumptions
by: Xu, Wujiang, et al.
Published: (2023)

From Lazy to Prolific: Tackling Missing Labels in Open Vocabulary Extreme Classification by Positive-Unlabeled Sequence Learning
by: Zhang, Ranran Haoran, et al.
Published: (2024)

To Search or to Recommend: Predicting Open-App Motivation with Neural Hawkes Process
by: Sun, Zhongxiang, et al.
Published: (2024)

Multi-view-guided Passage Reranking with Large Language Models
by: Na, Jeongwoo, et al.
Published: (2025)

Domain specific ontologies from Linked Open Data (LOD)
by: Uceda-Sosa, Rosario, et al.
Published: (2025)

MDAP: A Multi-view Disentangled and Adaptive Preference Learning Framework for Cross-Domain Recommendation
by: Tong, Junxiong, et al.
Published: (2024)

Spatio-Temporal Contrastive Learning Enhanced GNNs for Session-based Recommendation
by: Wan, Zhongwei, et al.
Published: (2022)

Cross-Domain Causal Preference Learning for Out-of-Distribution Recommendation
by: Li, Zhuhang, et al.
Published: (2024)

DeepRetrieval: Hacking Real Search Engines and Retrievers with Large Language Models via Reinforcement Learning
by: Jiang, Pengcheng, et al.
Published: (2025)

Towards Better Understanding of User Satisfaction in Open-Domain Conversational Search
by: Chu, Zhumin, et al.
Published: (2022)

MultiCBR: Multi-view Contrastive Learning for Bundle Recommendation
by: Ma, Yunshan, et al.
Published: (2023)

Learning Deep Tree-based Retriever for Efficient Recommendation: Theory and Method
by: Liu, Ze, et al.
Published: (2024)

Counteracting Duration Bias in Video Recommendation via Counterfactual Watch Time
by: Zhao, Haiyuan, et al.
Published: (2024)

Measure Domain's Gap: A Similar Domain Selection Principle for Multi-Domain Recommendation
by: Wen, Yi, et al.
Published: (2025)

Intermediate Distillation: Data-Efficient Distillation from Black-Box LLMs for Information Retrieval
by: Li, Zizhong, et al.
Published: (2024)

Text-Video Retrieval With Global-Local Contrastive Consistency Learning
by: Jing, Xiaolun, et al.
Published: (2026)

Bundle Recommendation with Item-level Causation-enhanced Multi-view Learning
by: Nguyen, Huy-Son, et al.
Published: (2024)

DIIT: A Domain-Invariant Information Transfer Method for Industrial Cross-Domain Recommendation
by: Huang, Heyuan, et al.
Published: (2024)

FARM: Frequency-Aware Model for Cross-Domain Live-Streaming Recommendation
by: Li, Xiaodong, et al.
Published: (2025)

Domain Adaptation for Dense Retrieval and Conversational Dense Retrieval through Self-Supervision by Meticulous Pseudo-Relevance Labeling
by: Li, Minghan, et al.
Published: (2024)

A Survey on Cross-Domain Sequential Recommendation
by: Chen, Shu, et al.
Published: (2024)

Exploring Preference-Guided Diffusion Model for Cross-Domain Recommendation
by: Li, Xiaodong, et al.
Published: (2025)

From Local Indices to Global Identifiers: Generative Reranking for Recommender Systems via Global Action Space
by: Jia, Pengyue, et al.
Published: (2026)

The Devil is in the Sources! Knowledge Enhanced Cross-Domain Recommendation in an Information Bottleneck Perspective
by: Hu, Binbin, et al.
Published: (2024)

Mamba Retriever: Utilizing Mamba for Effective and Efficient Dense Retrieval
by: Zhang, Hanqi, et al.
Published: (2024)

Revisiting Reciprocal Recommender Systems: Metrics, Formulation, and Method
by: Yang, Chen, et al.
Published: (2024)

S2CDR: Smoothing-Sharpening Process Model for Cross-Domain Recommendation
by: Li, Xiaodong, et al.
Published: (2026)

Remining Hard Negatives for Generative Pseudo Labeled Domain Adaptation
by: Yuksel, Goksenin, et al.
Published: (2025)

Crossing Domains without Labels: Distant Supervision for Term Extraction
by: Senger, Elena, et al.
Published: (2025)

MiniRec: Data-Efficient Reinforcement Learning for LLM-based Recommendation
by: Wang, Lin, et al.
Published: (2026)