English(EN) Token-Space Mask Prediction for Efficient Vision Transformer Segmentation

TokenMask简化视觉Transformer分割，提升效率

作者 PulseAugur 编辑部 · [1 个来源] · 2026-09-15 04:00

研究人员开发了TokenMask，一种在Token空间直接操作的视觉Transformer分割新方法，无需进行密集的空间特征图重建。该方法简化了计算结构，降低了内存和计算需求，同时保持了具有竞争力的准确性。通过在NVIDIA Jetson AGX Orin等硬件上使用TensorRT实现更快的推理，TokenMask提高了效率和速度，尤其适用于嵌入式视觉系统。 AI

影响简化了嵌入式视觉系统的分割任务，可能支持在边缘设备上更高效地部署AI。

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arXiv cs.CV TIER_1 English(EN) · Calvin Galagain, Martyna Poreba, Fran\c{c}ois Goulette · 2026-09-15 04:00

面向高效 Vision Transformer 分割的 Token-Space Mask 预测

arXiv:2605.18177v2 Announce Type: replace Abstract: Query-based Vision Transformer segmentation models typically reconstruct dense spatial feature maps to predict masks, inheriting design patterns from convolutional architectures. We show that this explicit image-space reconstruc…

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面向高效 Vision Transformer 分割的 Token-Space Mask 预测

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