Research map / Detection and segmentation / Open-set and few-shot detection
Sparse and Complete Latent Organization for Geospatial Semantic Segmentation
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| use SCO instead of PFSegNet | ResNet-50 segmentation on iSAID · iSAID | mIoU (%): 66.9% to 69.1% | Helped |
| add attraction loss Lattr (ablation) | FarSeg baseline · iSAID | mIoU (%): 63.7 -> 65.1 | Helped |
| add local repulsion loss Llocal_rep (ablation) | FarSeg baseline · iSAID | mIoU (%): 63.7 -> 64.8 | Helped |
| combine attraction and local repulsion losses (ablation) | FarSeg baseline · iSAID | mIoU (%): 63.7 -> 65.4 | Helped |
| add global repulsion loss Lglobal_rep (ablation) | local prototypical contrastive loss · iSAID | mIoU (%): 65.4 -> 67.8 | Helped |
| add foreground-background repulsion loss Lfb_rep (ablation) | local prototypical contrastive loss · iSAID | mIoU (%): 65.4 -> 67.4 | Helped |
| add global repulsion and foreground-background repulsion losses (ablation) | local prototypical contrastive loss · iSAID | mIoU (%): 65.4 -> 69.1 | Helped |
| use patch shuffle instead of Cutout (ablation) | SCO augmentation · iSAID | mIoU: 67.8 -> 69.1 | Helped |
| use patch shuffle instead of Mixup (ablation) | SCO augmentation · iSAID | mIoU: 68.1 -> 69.1 | Helped |
| use patch shuffle instead of Manifold Mixup (ablation) | SCO augmentation · iSAID | mIoU: 68.3 -> 69.1 | Helped |
| use patch shuffle instead of CutMix (ablation) | SCO augmentation · iSAID | mIoU: 68.5 -> 69.1 | Helped |
| increase patch shuffle augmentation count beyond 15 (ablation) | SCO · iSAID | mIoU | Hurt |
Closest papers by meaning
- Towards Open-Vocabulary Remote Sensing Image Semantic Segmentation (AAAI 2025 · similarity 0.90)
- InstructSAM: A Training-free Framework for Instruction-Oriented Remote Sensing Object Recognition (NeurIPS 2025 · similarity 0.88)
- In2NeCT: Inter-class and Intra-class Neural Collapse Tuning for Semantic Segmentation of Imbalanced Remote Sensing Images (AAAI 2025 · similarity 0.87)
- SatSynth: Augmenting Image-Mask Pairs through Diffusion Models for Aerial Semantic Segmentation (CVPR 2024 · similarity 0.87)
- SemStereo: Semantic-Constrained Stereo Matching Network for Remote Sensing (AAAI 2025 · similarity 0.87)
- LISAt: Language-Instructed Segmentation Assistant for Satellite Imagery (NeurIPS 2025 · similarity 0.87)
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