{"total":86,"rows":[{"id":"2102.12219","title":"Object Detection in Aerial Images: A Large-Scale Benchmark and Challenges","created":"2021-02-24","cited_by_count":204,"area":null},{"id":"2104.08391","title":"Learning To Count Everything","created":"2021-04-16","cited_by_count":150,"area":null},{"id":"2103.05569","title":"FAIR1M: A Benchmark Dataset for Fine-grained Object Recognition in High-Resolution Remote Sensing Imagery","created":"2021-03-09","cited_by_count":143,"area":null},{"id":"2208.13721","title":"CounTR: Transformer-based Generalised Visual Counting","created":"2022-08-29","cited_by_count":79,"area":null},{"id":"2111.08872","title":"TorchGeo: Deep Learning With Geospatial Data","created":"2021-11-17","cited_by_count":73,"area":null},{"id":"2211.08217","title":"A Low-Shot Object Counting Network With Iterative Prototype Adaptation","created":"2022-11-15","cited_by_count":65,"area":null},{"id":"2201.08959","title":"Few-shot Object Counting with Similarity-Aware Feature Enhancement","created":"2022-01-22","cited_by_count":62,"area":null},{"id":"2105.01922","title":"SeaDronesSee: A Maritime Benchmark for Detecting Humans in Open Water","created":"2021-05-05","cited_by_count":61,"area":null},{"id":"2407.04619","title":"CountGD: Multi-Modal Open-World Counting","created":"2024-07-05","cited_by_count":59,"area":null},{"id":"2303.02001","title":"Zero-shot Object Counting","created":"2023-03-03","cited_by_count":57,"area":null},{"id":"2207.10988","title":"Few-shot Object Counting and Detection","created":"2022-07-22","cited_by_count":55,"area":null},{"id":"2411.19325","title":"GEOBench-VLM: Benchmarking Vision-Language Models for Geospatial Tasks","created":"2024-11-28","cited_by_count":51,"area":"mllm"},{"id":"2501.02341","title":"UAVs Meet LLMs: Overviews and Perspectives Toward Agentic Low-Altitude Mobility","created":"2025-01-04","cited_by_count":49,"area":"agents"},{"id":"2312.16580","title":"VLCounter: Text-aware Visual Representation for Zero-Shot Object Counting","created":"2023-12-27","cited_by_count":45,"area":null},{"id":"2205.10203","title":"Learning to Count Anything: Reference-less Class-agnostic Counting with Weak Supervision","created":"2022-05-20","cited_by_count":41,"area":null},{"id":"2306.01851","title":"Open-world Text-specified Object Counting","created":"2023-06-02","cited_by_count":41,"area":null},{"id":"2308.10468","title":"STEERER: Resolving Scale Variations for Counting and Localization via Selective Inheritance Learning","created":"2023-08-21","cited_by_count":41,"area":null},{"id":"2210.04936","title":"EarthNets: Empowering AI in Earth Observation","created":"2022-10-10","cited_by_count":40,"area":null},{"id":"2311.12386","title":"Point, Segment and Count: A Generalized Framework for Object Counting","created":"2023-11-21","cited_by_count":39,"area":null},{"id":"2401.17600","title":"Good at captioning, bad at counting: Benchmarking GPT-4V on Earth observation data","created":"2024-01-31","cited_by_count":39,"area":"mllm"},{"id":"2108.11765","title":"Physical Adversarial Attacks on an Aerial Imagery Object Detector","created":"2021-08-26","cited_by_count":35,"area":null},{"id":"2205.14212","title":"Exemplar Free Class Agnostic Counting","created":"2022-05-27","cited_by_count":32,"area":null},{"id":"2407.08188","title":"Position: Measure Dataset Diversity, Don't Just Claim It","created":"2024-07-11","cited_by_count":26,"area":null},{"id":"2112.12252","title":"Leveraging Synthetic Data in Object Detection on Unmanned Aerial Vehicles","created":"2021-12-22","cited_by_count":22,"area":null},{"id":"2407.04948","title":"Zero-shot Object Counting with Good Exemplars","created":"2024-07-06","cited_by_count":21,"area":null},{"id":"2309.06751","title":"Remote Sensing Object Detection Meets Deep Learning: A Meta-review of Challenges and Advances","created":"2023-09-13","cited_by_count":20,"area":null},{"id":"2311.13596","title":"T-Rex: Counting by Visual Prompting","created":"2023-11-22","cited_by_count":20,"area":null},{"id":"2412.00686","title":"LVLM-COUNT: Enhancing the Counting Ability of Large Vision-Language Models","created":"2024-12-01","cited_by_count":20,"area":"mllm"},{"id":"2111.12960","title":"Detecting and Tracking Small and Dense Moving Objects in Satellite Videos: A Benchmark","created":"2021-11-25","cited_by_count":18,"area":null},{"id":"2505.14361","title":"Vision-Language Modeling Meets Remote Sensing: Models, Datasets and Perspectives","created":"2025-05-20","cited_by_count":18,"area":"mllm"},{"id":"2111.04287","title":"BlueFog: Make Decentralized Algorithms Practical for Optimization and Deep Learning","created":"2021-11-08","cited_by_count":16,"area":null},{"id":"2111.10635","title":"HeterPS: Distributed Deep Learning With Reinforcement Learning Based Scheduling in Heterogeneous Environments","created":"2021-11-20","cited_by_count":15,"area":null},{"id":"2401.10530","title":"NWPU-MOC: A Benchmark for Fine-grained Multi-category Object Counting in Aerial Images","created":"2024-01-19","cited_by_count":14,"area":null},{"id":"2505.02829","title":"LISAT: Language-Instructed Segmentation Assistant for Satellite Imagery","created":"2025-05-05","cited_by_count":13,"area":"mllm"},{"id":"2407.17085","title":"OVR: A Dataset for Open Vocabulary Temporal Repetition Counting in Videos","created":"2024-07-24","cited_by_count":10,"area":null},{"id":"2203.06463","title":"A Systematic Review on Computer Vision-Based Parking Lot Management Applied on Public Datasets","created":"2022-03-12","cited_by_count":9,"area":null},{"id":"2309.13097","title":"Zero-Shot Object Counting with Language-Vision Models","created":"2023-09-22","cited_by_count":9,"area":null},{"id":"2104.11854","title":"Oriented Bounding Boxes for Small and Freely Rotated Objects","created":"2021-04-24","cited_by_count":8,"area":null},{"id":"2206.10075","title":"Counting Varying Density Crowds Through Density Guided Adaptive Selection CNN and Transformer Estimation","created":"2022-06-21","cited_by_count":8,"area":null},{"id":"2512.23351","title":"CountGD++: Generalized Prompting for Open-World Counting","created":"2025-12-29","cited_by_count":8,"area":null},{"id":"2111.03420","title":"Sampling Equivariant Self-attention Networks for Object Detection in Aerial Images","created":"2021-11-05","cited_by_count":6,"area":null},{"id":"2307.08727","title":"Learning to Count without Annotations","created":"2023-07-17","cited_by_count":5,"area":null},{"id":"2504.20032","title":"More Clear, More Flexible, More Precise: A Comprehensive Oriented Object Detection benchmark for UAV","created":"2025-04-28","cited_by_count":5,"area":null},{"id":"2206.12725","title":"Empirical Evaluation of Physical Adversarial Patch Attacks Against Overhead Object Detection Models","created":"2022-06-25","cited_by_count":4,"area":null},{"id":"2302.05132","title":"GCNet: Probing Self-Similarity Learning for Generalized Counting Network","created":"2023-02-10","cited_by_count":4,"area":null},{"id":"2102.04366","title":"Counting and Locating High-Density Objects Using Convolutional Neural Network","created":"2021-02-08","cited_by_count":3,"area":null},{"id":"2104.03054","title":"Artificial and beneficial -- Exploiting artificial images for aerial vehicle detection","created":"2021-04-07","cited_by_count":3,"area":null},{"id":"2209.13500","title":"Dense-TNT: Efficient Vehicle Type Classification Neural Network Using Satellite Imagery","created":"2022-09-27","cited_by_count":3,"area":null},{"id":"2210.01857","title":"Centerpoints Are All You Need in Overhead Imagery","created":"2022-10-04","cited_by_count":2,"area":null},{"id":"2311.04491","title":"Explainable AI for Earth Observation: Current Methods, Open Challenges, and Opportunities","created":"2023-11-08","cited_by_count":2,"area":null},{"id":"2405.02301","title":"TFCounter:Polishing Gems for Training-Free Object Counting","created":"2024-03-12","cited_by_count":2,"area":null},{"id":"2504.17395","title":"SDVPT: Semantic-Driven Visual Prompt Tuning for Open-World Object Counting","created":"2025-04-24","cited_by_count":2,"area":"mllm"},{"id":"2507.06679","title":"Text-promptable Object Counting via Quantity Awareness Enhancement","created":"2025-07-09","cited_by_count":2,"area":"mllm"},{"id":"2507.22361","title":"Object Recognition Datasets and Challenges: A Review","created":"2025-07-30","cited_by_count":2,"area":null},{"id":"2509.20857","title":"TasselNetV4: A vision foundation model for cross-scene, cross-scale, and cross-species plant counting","created":"2025-09-25","cited_by_count":2,"area":null},{"id":"2601.01416","title":"AirSpatialBot: A Spatially-Aware Aerial Agent for Fine-Grained Vehicle Attribute Recognization and Retrieval","created":"2026-01-04","cited_by_count":2,"area":"mllm"},{"id":"2602.12774","title":"Bootstrapping MLLM for Weakly-Supervised Class-Agnostic Object Counting","created":"2026-02-13","cited_by_count":2,"area":null},{"id":"2105.12786","title":"cofga: A Dataset for Fine Grained Classification of Objects from Aerial Imagery","created":"2021-05-26","cited_by_count":1,"area":null},{"id":"2107.02411","title":"Adapting Vehicle Detector to Target Domain by Adversarial Prediction Alignment","created":"2021-07-06","cited_by_count":1,"area":null},{"id":"2108.12817","title":"Airplane Detection Based on Mask Region Convolution Neural Network","created":"2021-08-29","cited_by_count":1,"area":null},{"id":"2204.06828","title":"Deep Vehicle Detection in Satellite Video","created":"2022-04-14","cited_by_count":1,"area":null},{"id":"2206.03033","title":"Deep Learning Techniques for Visual Counting","created":"2022-06-07","cited_by_count":1,"area":null},{"id":"2210.12989","title":"Robust Object Detection in Remote Sensing Imagery with Noisy and Sparse Geo-Annotations (Full Version)","created":"2022-10-24","cited_by_count":1,"area":null},{"id":"2406.06320","title":"Vehicle Vectors and Traffic Patterns from Planet Imagery","created":"2024-06-10","cited_by_count":1,"area":null},{"id":"2409.06490","title":"UAVDB: Point-Guided Masks for UAV Detection and Segmentation","created":"2024-09-09","cited_by_count":1,"area":null},{"id":"2505.15398","title":"Expanding Zero-Shot Object Counting with Rich Prompts","created":"2025-05-21","cited_by_count":1,"area":null},{"id":"2510.19330","title":"Exploring Scale Shift in Crowd Localization under the Context of Domain Generalization","created":"2025-10-22","cited_by_count":1,"area":null},{"id":"2605.10887","title":"Count Anything at Any Granularity","created":"2026-05-11","cited_by_count":1,"area":"mllm"},{"id":"2605.18063","title":"The MixCount Dataset: Bridging the Data Gap for Open-Vocabulary Object Counting","created":"2026-05-18","cited_by_count":1,"area":null},{"id":"2606.00159","title":"Digital-to-Physical Transfer of Adversarial Patches for Aerial Vehicle Detection","created":"2026-05-29","cited_by_count":1,"area":null},{"id":"2607.16826","title":"Spatially-Aware Class-Agnostic Object Counting","created":"2026-07-18","cited_by_count":1,"area":null},{"id":"2104.11677","title":"Rapid Detection of Aircrafts in Satellite Imagery based on Deep Neural Networks","created":"2021-04-21","cited_by_count":0,"area":null},{"id":"2108.12811","title":"Airplane Type Identification Based on Mask RCNN and Drone Images","created":"2021-08-29","cited_by_count":0,"area":null},{"id":"2112.05786","title":"Guided Generative Models using Weak Supervision for Detecting Object Spatial Arrangement in Overhead Images","created":"2021-12-10","cited_by_count":0,"area":null},{"id":"2112.11367","title":"Deep Learning and Earth Observation to Support the Sustainable Development Goals","created":"2021-12-21","cited_by_count":0,"area":null},{"id":"2307.07677","title":"Learning from Pseudo-labeled Segmentation for Multi-Class Object Counting","created":"2023-07-15","cited_by_count":0,"area":null},{"id":"2308.00530","title":"Tolerating Annotation Displacement in Dense Object Counting via Point Annotation Probability Map","created":"2023-07-29","cited_by_count":0,"area":null},{"id":"2502.10677","title":"FocalCount: Towards Class-Count Imbalance in Class-Agnostic Counting","created":"2025-02-15","cited_by_count":0,"area":null},{"id":"2505.22353","title":"VME: A Satellite Imagery Dataset and Benchmark for Detecting Vehicles in the Middle East and Beyond","created":"2025-05-28","cited_by_count":0,"area":null},{"id":"2507.18513","title":"Towards Large Scale Geostatistical Methane Monitoring with Part-based Object Detection","created":"2025-07-24","cited_by_count":0,"area":null},{"id":"2510.23785","title":"CountFormer: A Transformer Framework for Learning Visual Repetition and Structure in Class-Agnostic Object Counting","created":"2025-10-27","cited_by_count":0,"area":null},{"id":"2603.27486","title":"Estimating the Impact of COVID-19 on Travel Demand in Houston Area Using Deep Learning and Satellite Imagery","created":"2026-03-29","cited_by_count":0,"area":null},{"id":"2606.23835","title":"ABACUS: Adapting Unified Foundation Model for Bridging Image Count Understanding and Generation","created":"2026-06-22","cited_by_count":0,"area":"mllm"},{"id":"2607.03945","title":"A Large-Scale Dataset and a New Method for RemoteSensing Traffic Object Segmentation","created":"2026-07-04","cited_by_count":0,"area":null},{"id":"2608.29510","title":"ARMOR: Manifold-Oriented Training for Adversarially Robust Aerial Object Detection under Data Scarcity","created":"2026-08-30","cited_by_count":0,"area":null},{"id":"2609.37003","title":"VesselBench-800K: A Large-scale Perception Benchmark for Multimodal Vessel Detection, Counting, and Density Estimation","created":"2026-09-29","cited_by_count":0,"area":null}],"next_cursor":null}