ConnectomeBench2 supplies a unified multi-species benchmark of expert proofreading labels and shows a single Vision Transformer achieving human-level performance on split and merge error tasks while providing calibration and distribution-shift diagnostics.
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MedCAGD introduces a context-aware gated decoder with channel recalibration, gated skip fusion, and global context aggregation that outperforms baselines on 11 medical segmentation benchmarks while remaining computationally practical.
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ConnectomeBench2: A Unified Benchmark for Automated Connectomic Proofreading
ConnectomeBench2 supplies a unified multi-species benchmark of expert proofreading labels and shows a single Vision Transformer achieving human-level performance on split and merge error tasks while providing calibration and distribution-shift diagnostics.
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MedCAGD: Context-Aware Gated Decoder for Efficient Medical Image Segmentation
MedCAGD introduces a context-aware gated decoder with channel recalibration, gated skip fusion, and global context aggregation that outperforms baselines on 11 medical segmentation benchmarks while remaining computationally practical.