
边缘智能 21
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论文笔记《L-TTA: Lightweight Test-Time Adaptation Using a Versatile Stem Layer》
论文 - 《L-TTA: Lightweight Test-Time Adaptation Using a Versatile Stem Layer》 代码 - Github 关键词 - Neurips2024、TTA、高效、图像分类 摘要 研究背景 测试时自适应 TTA 用于通过仅使用目标域的未标
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论文笔记《Real-Time Video Inference on Edge Devices via Adaptive Model Streaming》
论文 - 《Real-Time Video Inference on Edge Devices via Adaptive Model Streaming》 代码 - Github 关键词 - 实时视频推理、边缘智能、蒸馏、端云协作、适应、ICCV2021 摘要 研究问题 在移动电话和无人机等边缘设备
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论文笔记《MOS: MODEL SYNERGY FOR TEST-TIME ADAPTATION ON LIDAR-BASED 3D OBJECT DETECTION》
论文 - 《MOS: MODEL SYNERGY FOR TEST-TIME ADAPTATION ON LIDAR-BASED 3D OBJECT DETECTION》 代码 - Github 关键词 - LiDAR、3D目标检测、TTA、ICLR2025 Oral 摘要 问题背景 基于 LiDA
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论文笔记《MECTA: Memory-Economic Continual Test-time Adaptation》
论文 - 《MECTA: MEMORY-ECONOMIC CONTINUAL TESTTIME MODEL ADAPTATION》 代码 - Github 关键词 - 图像识别、TTA、内存高效、ICLR2023 摘要 问题背景 持续测试时适应(Continual Test-time Adaptat
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论文笔记《Test-Time Model Adaptation with Only Forward Passes》
论文 - 《Test-Time Model Adaptation with Only Forward Passes》 代码 - Github 关键词 - TTA、无反向传播、图像分类、Prompt Tuning、IICML2024Oral 摘要 问题背景 模型通常部署在资源受限的设备上(如 FPGA
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论文笔记《TinyTTA: Efficient Test-Time Adaptation via Early-Exit Ensembles on Edge Devices》
论文 - 《TinyTTA: Efficient Test-Time Adaptation via Early-Exit Ensembles on Edge Devices》 代码 - Github 关键词 - NeurIPS 2024、Early Exit、TTA、微控制器单元MCUs 摘要 研究
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论文笔记《LeanTTA: A Backpropagation-Free and Stateless Approach to Quantized Test-Time Adaptation...》
论文 - 《LeanTTA: A Backpropagation-Free and Stateless Approach to Quantized Test-Time Adaptation on Edge Devices》 关键词 - 边缘、 test-time adaptation、无反向传播、量
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论文笔记《Entropy is not Enough for Test-Time Adaptation: From the Perspective of Disentangled Factors》
论文-《ENTROPY IS NOT ENOUGH FOR TEST-TIME ADAPTATION: FROM THE PERSPECTIVE OF DISENTANGLED FACTORS》 代码 - Github 关键词 - test-time adaptation、多模态、ICLR spot
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论文笔记《Cross-Device Collaborative Test-Time Adaptation》
论文-《Cross-Device Collaborative Test-Time Adaptation》 代码-Github 关键词-test-time Adaptation、开源、视觉、Neurips 2024 摘要 本文工作 - test-time Collaborative Lifelong
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论文笔记《Towards Robust and Efficient Cloud-Edge Elastic Model Adaptation...》
论文笔记-《TOWARDS ROBUST AND EFFICIENT CLOUD-EDGE ELASTIC MODEL ADAPTATION VIA SELECTIVE ENTROPY DISTILLATION》 代码-Github 关键词-DNN、边缘、计算机视觉、ICLR2024 摘要 研究背景
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论文笔记《Cloud-Device Collaborative Learning for Multimodal Large Language Models》
论文-《Cloud-Device Collaborative Learning for Multimodal Large Language Models》 关键词:云端-设备协作、多模态、大模型、CVPR2024 摘要 问题背景:多模态大语言模型(MLLMs)在图像描述生成、常识推理和视觉场景理解等
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论文笔记《Janus: Collaborative Vision Transformer Under Dynamic Network Environment》
论文-《Janus: Collaborative Vision Transformer Under Dynamic Network Environment》 关键词-多模态、云边协作、模型分割、动态网络、INFOCOM2025 摘要 问题背景:ViTs在计算机视觉任务的性能惊人,但是计算成本较高,在
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论文笔记《Task-Oriented Feature Compression for Multimodal Understanding via Device-Edge Co-Inference》
论文:《Task-Oriented Feature Compression for Multimodal Understanding via Device-Edge Co-Inference》 摘要 研究背景 大多数LMM (large multimodal models) 的推理请求来自边缘设备,
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论文笔记《Self-Adapting Large Visual-Language Models to Edge Devices...》
论文-《Self-Adapting Large Visual-Language Models to Edge Devices across Visual Modalities》 代码-Github 摘要 研究问题 视觉-语言(VL)模型的进展引发了对其在边缘设备上部署的兴趣,但在处理多样化视觉模态、
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论文笔记《HPipe: Large Language Model Pipeline Parallelism for Long Context...》
论文-《HPipe: Large Language Model Pipeline Parallelism for Long Context on Heterogeneous Cost-effective Devices》 摘要 问题背景 微型企业和个人开发者对使用强大的大型语言模型(LLMs)进行长