EDGEFORMER: IMPROVING LIGHT-WEIGHT CON- VNETS BY LEARNING FROM VISION TRANSFORMERS - 代码天地

EDGEFORMER: IMPROVING LIGHT-WEIGHT CON- VNETS BY LEARNING FROM VISION TRANSFORMERS

企业开发 2022-05-25 14:52:45 阅读次数: 0

NoSuchKey

猜你喜欢

转载自blog.csdn.net/qq_52302919/article/details/124602079

EDGEFORMER: IMPROVING LIGHT-WEIGHT CON- VNETS BY LEARNING FROM VISION TRANSFORMERS

论文阅读：MobileViT: LIGHT-WEIGHT, GENERAL-PURPOSE,AND MOBILE-FRIENDLY VISION TRANSFORMER

[论文分享]Skip-Attention: Improving Vision Transformers by Paying Less Attention

CVPR 2023 | Making Vision Transformers Efficient from A Token Sparsification View

《Vision Transformers with Patch Diversification》

From feature descriptors to deep learning: 20 years of computer vision

Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet | 全面超越ResNet

Paper | A novel deep learning-based method of improving coding efficiency from the decoder-end for HEVC

Multiscale Vision Transformers 论文阅读

Multiscale Vision Transformers 论文详解

Transformer 综述 & Transformers in Vision: A Survey

Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet作者袁粒讲T2T-ViT

阅读文献1：Bootstrapping ViTs: Towards Liberating Vision Transformers from Pre-training（文章翻译及自身的理解和总结）

LXMERT: Learning Cross-Modality Encoder Representations from Transformers 论文笔记

（四十六）：VATT: Transformers for Multimodal Self-Supervised Learning from Raw Video, Audio and Text

Investigating Bi-Level Optimization for Learning and Vision from a Unified Perspective: A Survey and

图像分割之Light-Weight RefineNet

Docker Light-weight virtualization - for class 2

Learning ROS: Computer Vision

【实验】SegViT: Semantic Segmentation with Plain Vision Transformers

EfficientFormer:高效低延迟的Vision Transformers

Vision Transformers for Dense Prediction论文笔记

A Vision for Making Deep Learning Simple

CGNet: A Light-weight Context Guided Network for Semantic Segmentation

Training Vision Transformers for Image Retrieval 论文笔记

综述 | 计算机视觉Transformer 《Transformers in Vision: A Survey》

密集预测的视觉Transformer：Vision Transformers for Dense Prediction

运行结果展示 |（DPT）Vision Transformers for Dense Prediction

《Three things everyone should know about Vision Transformers》

Focal Self-attention for Local-Global Interactions in Vision Transformers

今日推荐

周排行

教你如何约女孩子的方式去理解（TCP三次握手与四次挥手）

android按压背景

【量化小讲堂-Python&Pandas系列10】如何判断一个策略的好坏？(附代码)

编程题：利用链表实现栈

盘点47条 Allegro 使用技巧，你都知道吗？

在VMware Workstation中安装CentOS

二叉树的实现

cmake安装jsoncpp

ReactNative开发城市列表页

最全前端学习资源

每日归档

更多

2025-03-20(0)

2025-03-19(0)

2025-03-18(0)

2025-03-17(0)

2025-03-16(0)

2025-03-15(0)

2025-03-14(0)

2025-03-13(0)

2025-03-12(0)

2025-03-11(0)