[AAAI 2022] This is the official PyTorch implementation of "Less is More: Pay Less Attention in Vision Transformers"
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Jun 19, 2022 - Python
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mlps
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Implementation of the model "Hedgehog" from the paper: "The Hedgehog & the Porcupine: Expressive Linear Attentions with Softmax Mimicry"
open-source ai ml attention multi-modal neural-nets feedforward softmax attention-is-all-you-need attention-mechanisms mlps ffns opensource-ai
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Mar 11, 2024 - Python
🚀 This article explores the architecture and working mechanism of Vision-Language Models (VLMs) such as GPT-4V. It explains how these models process and fuse visual and textual inputs using encoders, embeddings, and attention mechanisms.
patches cnn transformer vlm neutral-network vits mlps llm binary-conversion patch-embeddings linear-layer cls-token positional-emcoding self-attention-layer feed-forward-layer vector-number
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May 9, 2025
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