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ADE20K

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Sep 17, 2026 · Artificial Intelligence

PolaFormer++: Polarity-Aware Linear Attention with Channel-Wise Spikiness Sets New Benchmark

PolaFormer++ introduces a polarity-aware linear attention mechanism with channel-wise spiky feature mapping (PaCS) that solves negative value loss and high entropy issues, achieving state-of-the-art results across six vision tasks including classification, detection, segmentation, diffusion, 3D synthesis, and super-resolution.

3D ReconstructionADE20KCOCO

0 likes · 16 min read

PolaFormer++: Polarity-Aware Linear Attention with Channel-Wise Spikiness Sets New Benchmark

Meituan Technology Team

Mar 24, 2022 · Artificial Intelligence

Twins: Efficient Visual Attention Models for Vision Transformers

The Twins series, a collaboration between Meituan and the University of Adelaide, introduces conditional positional encoding and spatially separable self‑attention to improve efficiency and performance of vision transformers, achieving state‑of‑the‑art results on ImageNet, ADE20K, COCO and high‑precision map segmentation.

ADE20KCOCOConditional Positional Encoding

0 likes · 20 min read

Twins: Efficient Visual Attention Models for Vision Transformers