| Strip R-CNN* |
- mAP
- 82.75%
|
Strip R-CNN: Large Strip Convolution for Remote Sensing Object Detection 2025-01-07 |
코드 1 · 코드 2 · 코드 3 |
| MoCaE |
- mAP
- 82.62%
|
MoCaE: Mixture of Calibrated Experts Significantly Improves Object Detection 2023-09-26 |
코드 1 |
| Strip R-CNN |
- mAP
- 82.28%
|
Strip R-CNN: Large Strip Convolution for Remote Sensing Object Detection 2025-01-07 |
코드 1 · 코드 2 · 코드 3 |
| Oriented-DETR |
- mAP
- 82.26%
|
Projecting Points to Axes: Oriented Object Detection via Point-Axis Representation 2024-07-11 |
코드 1 |
| STD+HiViT-B |
- mAP
- 82.24%
|
Spatial Transform Decoupling for Oriented Object Detection 2023-08-21 |
코드 1 |
| CDLA-HOP |
- mAP
- 82.02%
|
Category-Aware Dynamic Label Assignment with High-Quality Oriented Proposal 2024-07-03 |
연결 없음 |
| LSKNet-S* |
- mAP
- 81.85%
|
LSKNet: A Foundation Lightweight Backbone for Remote Sensing 2024-03-18 |
코드 1 · 코드 2 |
| ARC |
- mAP
- 81.77%
|
Adaptive Rotated Convolution for Rotated Object Detection 2023-03-14 |
코드 1 |
| MAE+MTP(ViT-L+RVSA) |
- mAP
- 81.66%
|
MTP: Advancing Remote Sensing Foundation Model via Multi-Task Pretraining 2024-03-20 |
코드 1 · 코드 2 |
| LSKNet-S |
- mAP
- 81.64%
|
LSKNet: A Foundation Lightweight Backbone for Remote Sensing 2024-03-18 |
코드 1 · 코드 2 |
| LSKNet-T |
- mAP
- 81.37%
|
LSKNet: A Foundation Lightweight Backbone for Remote Sensing 2024-03-18 |
코드 1 · 코드 2 |
| ViTAE-B + RVSA-ORCN |
- mAP
- 81.24%
|
Advancing Plain Vision Transformer Towards Remote Sensing Foundation Model 2022-08-08 |
코드 1 · 코드 2 |
| ViT-B + RVSA-ORCN |
- mAP
- 81.01%
|
Advancing Plain Vision Transformer Towards Remote Sensing Foundation Model 2022-08-08 |
코드 1 · 코드 2 |
| Oriented RCNN |
- mAP
- 80.87%
|
Oriented R-CNN for Object Detection 2021-08-12 |
코드 1 · 코드 2 · 코드 3 · 코드 4 · 코드 5 |
| IMP+MTP(InternImage-XL) |
- mAP
- 80.77%
|
MTP: Advancing Remote Sensing Foundation Model via Multi-Task Pretraining 2024-03-20 |
코드 1 · 코드 2 |
| PP-YOLOE-R-x |
- mAP
- 80.73%
|
PP-YOLOE-R: An Efficient Anchor-Free Rotated Object Detector 2022-11-04 |
코드 1 · 코드 2 |
| MAE+MTP(ViT-B+RVSA) |
- mAP
- 80.67%
|
MTP: Advancing Remote Sensing Foundation Model via Multi-Task Pretraining 2024-03-20 |
코드 1 · 코드 2 |
| KLD+R3Det |
- mAP
- 80.63%
|
Learning High-Precision Bounding Box for Rotated Object Detection via Kullback-Leibler Divergence 2021-06-03 |
코드 1 · 코드 2 |
| DEA-Net |
- mAP
- 80.37%
|
Anchor Retouching via Model Interaction for Robust Object Detection in Aerial Images 2021-12-13 |
코드 1 |
| GWD+R3Det |
- mAP
- 80.23%
|
Rethinking Rotated Object Detection with Gaussian Wasserstein Distance Loss 2021-01-28 |
코드 1 · 코드 2 |
| ReDet |
- mAP
- 80.10%
|
ReDet: A Rotation-equivariant Detector for Aerial Object Detection 2021-03-13 |
코드 1 · 코드 2 · 코드 3 · 코드 4 |
| LEGNet-S |
- mAP
- 80.03
|
LEGNet: Lightweight Edge-Gaussian Driven Network for Low-Quality Remote Sensing Image Object Detection 2025-03-18 |
코드 1 |
| PP-YOLOE-R-l |
- mAP
- 80.02%
|
PP-YOLOE-R: An Efficient Anchor-Free Rotated Object Detector 2022-11-04 |
코드 1 · 코드 2 |
| PP-YOLOE-R-m |
- mAP
- 79.71%
|
PP-YOLOE-R: An Efficient Anchor-Free Rotated Object Detector 2022-11-04 |
코드 1 · 코드 2 |
| RBox |
- mAP
- 79.59%
|
Few Could Be Better Than All: Feature Sampling and Grouping for Scene Text Detection 2022-03-29 |
연결 없음 |
| S2A-Net |
- mAP
- 79.42%
|
Align Deep Features for Oriented Object Detection 2020-08-21 |
코드 1 · 코드 2 · 코드 3 |
| PP-YOLOE-R-s |
- mAP
- 79.42%
|
PP-YOLOE-R: An Efficient Anchor-Free Rotated Object Detector 2022-11-04 |
코드 1 · 코드 2 |
| LWGANet L2 |
- mAP
- 78.64
|
LWGANet: A Lightweight Group Attention Backbone for Remote Sensing Visual Tasks 2025-01-17 |
코드 1 |
| DecoupleNet D2 |
- mAP
- 78.04%
|
DecoupleNet: A Lightweight Backbone Network With Efficient Feature Decoupling for Remote Sensing Visual Tasks 2024-09-23 |
코드 1 |
| RDD |
- mAP
- 77.75%
|
Single-Stage Rotation-Decoupled Detector for Oriented Object 2020-10-08 |
코드 1 |