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深度学习笔记
深度学习笔记
语言：中文 | 章节：22 | 阅读：1834 | 收藏：0 | 评论：0
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论文笔记-HALP: hardware-aware latency pruning
模型优化-NVIT: VISION TRANSFORMER COMPRESSION AND PARAMETER REDISTRIBUTION�
模型优化-LITE TRANSFORMER WITH LONG-SHORT RANGE ATTENTION
Transformer - MOBILEVIT: LIGHT-WEIGHT, GENERAL-PURPOSE, AND MOBILE-FRIENDLY VISION TRANSFORMER �
模型优化-Chasing Sparsity in Vision Transformers: An End-to-End Exploration
域适应-CDTRANS: CROSS-DOMAIN TRANSFORMER FOR UNSUPERVISED DOMAIN ADAPTATION
域适应-Deep Transfer Network: Unsupervised Domain Adaptation
模型优化-Multi-objective Magnitude-Based Pruning for Latency-Aware Deep Neural Network Compression
模型优化-Latency-aware automatic CNN channel pruning with GPU runtime analysis
模型压缩笔记
单目深度估计-Domain Decluttering: Simplifying Images to Mitigate Synthetic-Real Domain Shift and Improve Depth Estimation�
单目深度估计-T2Net：Synthetic-to-Realistic Translation for Solving Single-Image Depth Estimation Tasks
Attention is All You Need
风格迁移-MUNIT
模型优化-transformer
模型优化-Manifold Regularized Dynamic Network Pruning
图像匹配-Learnable Motion Coherence for Correspondence Pruning
模型优化-NPAS：A Compiler-aware Framework of Unified Network Pruning and Architecture Search for Beyond Real-Time Mobile Acceleration
单目深度估计-NeW CRFs: Neural Window Fully-connected CRFs for Monocular Depth Estimation
模型优化-Network Pruning via Performance Maximization
论文笔记-Ps and Qs：quantization-aware pruning for efficient low latency neural network inference
善良比聪明更重要（评论内容审核后才会显示）
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