Sentinel2Cap provides human-annotated captions for multimodal Sentinel satellite images, with zero-shot tests showing RGB outperforming SAR and prompts helping performance.
reben: Refined bigearthnet dataset for remote sensing image analysis
3 Pith papers cite this work. Polarity classification is still indexing.
fields
cs.CV 3verdicts
UNVERDICTED 3representative citing papers
AdaGC adaptively applies gradient calibration with dual EMA in SPML for RS imagery to recover full labels from single-positive annotations and reports SOTA results on two benchmarks.
DiffuSAM fuses diffusion-based localization cues with SAM models to deliver over 14% higher Acc@0.5 in zero-shot object grounding for remote sensing imagery compared to prior methods.
citing papers explorer
-
Sentinel2Cap: A Human-Annotated Benchmark Dataset for Multimodal Remote Sensing Image Captioning
Sentinel2Cap provides human-annotated captions for multimodal Sentinel satellite images, with zero-shot tests showing RGB outperforming SAR and prompts helping performance.
-
Adaptive Gradient Calibration for Single-Positive Multi-Label Learning in Remote Sensing Image Scene Classification
AdaGC adaptively applies gradient calibration with dual EMA in SPML for RS imagery to recover full labels from single-positive annotations and reports SOTA results on two benchmarks.
-
DiffuSAM: Diffusion Guided Zero-Shot Object Grounding for Remote Sensing Imagery
DiffuSAM fuses diffusion-based localization cues with SAM models to deliver over 14% higher Acc@0.5 in zero-shot object grounding for remote sensing imagery compared to prior methods.