Introduces the ELDOR UAV dataset and four benchmark tasks for semantic segmentation and classification of mining disturbances and ecological recovery in rainforest imagery.
Superpixel-based and spatially regularized diffusion learning for unsupervised hyperspectral image clustering.IEEE Transactions on Geoscience and Remote Sensing, 62:1–18
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HELP uses heatmap-guided positional embeddings and a gradient mask to suppress background noise in queries, enabling efficient small-object detection with fewer decoder layers and parameters.
SHADE adaptively combines coverage and spectral signals to estimate semantic alphabet size from few LLM samples, yielding better performance than baselines in low-sample regimes for alphabet estimation and QA error detection.
citing papers explorer
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ELDOR: A Dataset and Benchmark for Illegal Gold Mining in the Amazon Rainforest
Introduces the ELDOR UAV dataset and four benchmark tasks for semantic segmentation and classification of mining disturbances and ecological recovery in rainforest imagery.
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Learning Where to Embed: Noise-Aware Positional Embedding for Query Retrieval in Small-Object Detection
HELP uses heatmap-guided positional embeddings and a gradient mask to suppress background noise in queries, enabling efficient small-object detection with fewer decoder layers and parameters.
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Mind the Unseen Mass: Unmasking LLM Hallucinations via Soft-Hybrid Alphabet Estimation
SHADE adaptively combines coverage and spectral signals to estimate semantic alphabet size from few LLM samples, yielding better performance than baselines in low-sample regimes for alphabet estimation and QA error detection.