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AI Frontier Lectures
AI Frontier Lectures
Mar 14, 2025 · Artificial Intelligence

Do Vision Models Really Need Mamba? A Deep Dive into MambaOut

This article critically examines the MambaOut paper, analyzing whether state‑space‑based Mamba token mixers are necessary for vision tasks, presenting two hypotheses, describing the construction of MambaOut models without SSM, and reporting extensive ImageNet, COCO and ADE20K experiments that reveal when Mamba is beneficial.

MambaState Space ModelToken Mixer
0 likes · 17 min read
Do Vision Models Really Need Mamba? A Deep Dive into MambaOut
AIWalker
AIWalker
Jan 13, 2025 · Artificial Intelligence

Multi-View Transformer (MVFormer) Sets New Top‑1 Accuracy Records in Classification, Detection, and Segmentation

The paper proposes MVFormer, a Vision Transformer that combines a Multi‑View Normalization (MVN) module and a Multi‑View Token Mixer (MVTM) to diversify feature learning, achieving state‑of‑the‑art Top‑1 accuracy of 83.4%‑84.6% on ImageNet‑1K and superior performance on COCO detection and ADE20K segmentation while using comparable or fewer parameters and MACs.

Multi-View NormalizationToken Mixercomputer vision
0 likes · 25 min read
Multi-View Transformer (MVFormer) Sets New Top‑1 Accuracy Records in Classification, Detection, and Segmentation