Aerial Scene Classification

Benchmarks archive 2025-07-28

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Libraries

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Datasets archive 2025-07-28

1 dataset whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

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Most implemented papers archive 2025-07-28

14 shown of 14 papers with code (22 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Attention-based Deep Multiple Instance Learning
  13 Feb 2018 17 repositories listed Syntology ran 5 of 5 samples · 0 unverified · 5 pointer-only (licence)
  Multiple instance learning (MIL) is a variation of supervised learning where a single class label is assigned to a bag of instances.
• MTP: Advancing Remote Sensing Foundation Model via Multi-Task Pretraining
  20 Mar 2024 2 repositories listed Syntology ran 4 of 5 samples · 1 unverified
  However, transferring the pretrained models to downstream tasks may encounter task discrepancy due to their formulation of pretraining as image classification or object discrimination tasks.
• Advancing Plain Vision Transformer Towards Remote Sensing Foundation Model
  8 Aug 2022 2 repositories listed Syntology ran 3 of 4 samples · 1 unverified
  Large-scale vision foundation models have made significant progress in visual tasks on natural images, with vision transformers being the primary choice due to their good scalability and representation ability.
• An Empirical Study of Remote Sensing Pretraining
  6 Apr 2022 2 repositories listed
  To this end, we train different networks from scratch with the help of the largest RS scene recognition dataset up to now -- MillionAID, to obtain a series of RS pretrained backbones, including both convolutional neural…
• Deep-Learning-Based Aerial Image Classification for Emergency Response Applications Using Unmanned Aerial Vehicles
  20 Jun 2019 2 repositories listed
  Unmanned Aerial Vehicles (UAVs), equipped with camera sensors can facilitate enhanced situational awareness for many emergency response and disaster management applications since they are capable of operating in remote…
• TakuNet: an Energy-Efficient CNN for Real-Time Inference on Embedded UAV systems in Emergency Response Scenarios
  10 Jan 2025 1 repository listed
  Designing efficient neural networks for embedded devices is a critical challenge, particularly in applications requiring real-time performance, such as aerial imaging with drones and UAVs for emergency responses.
• Gradient-Guided Multiscale Focal Attention Network for Remote Sensing Scene Classification
  16 Jul 2024 1 repository listed
  Remote sensing scene classification (RSSC) aims to understand and analyze the semantic information at the scene level with complex geographical properties.
• Scaling Efficient Masked Image Modeling on Large Remote Sensing Dataset
  17 Jun 2024 1 repository listed Syntology ran 4 of 7 samples · 3 unverified
  To address these issues, we present a new pre-training pipeline for RS models, featuring the creation of a large-scale RS dataset and an efficient MIM approach.
• All grains, one scheme (AGOS): Learning multigrain instance representation for aerial scene classification
  25 Aug 2022 1 repository listed
  Finally, our SSF module allows our framework to learn the same scene scheme from multigrain instance representations and fuses them, so that the entire framework is optimized as a whole.
• All Grains, One Scheme (AGOS): Learning Multi-grain Instance Representation for Aerial Scene Classification
  6 May 2022 1 repository listed
  Finally, our SSF allows our framework to learn the same scene scheme from multi-grain instance representations and fuses them, so that the entire framework is optimized as a whole.
• Local semantic enhanced convnet for aerial scene recognition
  8 Jul 2021 1 repository listed
  Our LSE-Net consists of a context enhanced convolutional feature extractor, a local semantic perception module and a classification layer.
• A multiple-instance densely-connected ConvNet for aerial scene classification
  3 Mar 2020 1 repository listed
  It regards aerial scene classification as a multiple-instance learning problem so that local semantics can be further investigated.
• HexaConv
  6 Mar 2018 1 repository listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  We find that, due to the reduced anisotropy of hexagonal filters, planar HexaConv provides better accuracy than planar convolution with square filters, given a fixed parameter budget.
• AID: A Benchmark Dataset for Performance Evaluation of Aerial Scene Classification
  18 Aug 2016 1 repository listed
  The goal of AID is to advance the state-of-the-arts in scene classification of remote sensing images.

Syntology lines on 5 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.