A new study reveals universal network principles govern neuron connectivity, offering a new lens for understanding brain and social networks. Vision Mamba (Vim) introduces a bidirectional State Space Model (SSM) for efficient visual representation learning, outperforming DeiT. The Vim model, incorporating bidirectional SSM and positional encoding, shows superior results on ImageNet/ADE20/COCO, indicating it as the next-gen vision backbone. The breakthrough in Mamba Vision allows live, real-time observation of synapses, enabling a deeper understanding of brain dynamics. Researchers lack GPUs for exploring more Vim-based vision and multimodal apps.
Thanks to @iScienceLuvr for sharing! Now codes & ImageNet weights released: https://t.co/qTLyz2SCLV, for exploring more Vim-based vision and even multimodal apps. We lack GPUs. If you have GPUs and have an interest in building multimodal Mamba, welcome to contact me. https://t.co/nbBiI8UAsb
Thanks to @_akhaliq for sharing! Now codes & ImageNet weights released: https://t.co/qTLyz2SCLV, for exploring more Vim-based vision and even multimodal apps. We lack GPUs. If you have GPUs and have an interest in building multimodal Mamba, welcome to contact me. https://t.co/Fsnv21PEG7
SynapShot Technique Enables Real-Time Synapse Observation A new technique enables live, real-time observation of synapses. This breakthrough opens doors to understanding brain dynamics like never before. https://t.co/fBVjzow13q 1/2 https://t.co/TGLWTzm3Ws
A new study uncovers distinct electrical activity patterns in the brain's cortical layers, consistent across species. This groundbreaking discovery could pave the way for novel approaches to diagnosing and treating neurological disorders. https://t.co/aciuBHvuBs #neuroscience https://t.co/B5PuPCB7GX
Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model paper page: https://t.co/cSaJjyYC1x Recently the state space models (SSMs) with efficient hardware-aware designs, i.e., Mamba, have shown great potential for long sequence modeling.… https://t.co/HwASSjtj3m
Another amazing breakthrough of Mamba in Vision is just out: Vision Mamba (Vim) (paper: https://t.co/EauB0g5u2I), a great work from @XinggangWang's group! What is Vision Mamba? Vision Mamba (Vim) is not just another model; Departing from conventional attention mechanisms, Vim… https://t.co/TEklG6330J
Many thanks to @arankomatsuzaki for sharing our Vim model, in which new techs such as bidirectional SSM & PE are added in Mama. Besides the super efficiency, Vim has better results on ImageNet/ADE20/COCO than the DeiT transformer - showing it will be the next-gen vision backbone. https://t.co/HYoQwUc5p6
Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model abs: https://t.co/GxY6Zn2k5m Proposes Vision Mamba (Vim), which uses a bidirectional Mamba network, 2.8x faster than DeiT, more suitable for high-resolution tasks. https://t.co/Ed39EsxatY
A new study reveals neuron connectivity is governed by universal network principles, not just biology. A new lens to view brain and social networks alike. https://t.co/h9bEuQo0K3 https://t.co/WBHRIhDNui