1.【基础网络架构】(WACV2025)LowFormer: Hardware Efficient Design for Convolutional Transformer Backbones 论文地址:https://arxiv.org//pdf/2409.03460 开源代码:https://github.com/altair199797/LowFo…
16.【Diffusion】Dream the Impossible: Outlier Imagination with Diffusion Models 论文地址:arxiv.org//pdf/2309.134 开源代码(即将开源):github.com/deeplearning 17.【图像编辑】Diverse Semantic Image Editing with Style Codes 论文地址:arxiv.org//pdf/2309.139 工程主页:cs.bilkent.edu.tr/~adun 开源代码...
图7 Papers With Code网站Trends版块 “门户”版块介绍了包括机器学习、计算机科学、物理学、天文学、数学和统计学等领域的论文及其相关代码。用户可以根据自身需求,通过该版块快速进入不同的领域进行学习。 图8 Papers With Code网站Portals版块 “库”版块介绍了与计算机视觉、自然语言处理相关的一些常用AI框架。 图9 ...
2.1 进入Browse State-of-the-Art 包含计算机视觉、自然语言处理、医学等方面的内容 点进去图像分类,页面内容如下: 点进去CIFAR-10里,看对应的信息: 纵坐标:模型的评价指标 2.2 数据集 点击datasets: 2.3 方法 点进去某个方法:
CoAt=Convolution + Attention,paperwithcode榜单第一名,通过结合卷积与Transformer实现性能上的突破,方法部分设计非常规整,层层深入考虑模型的架构设计。 引言 Transformer模型的容量大,由于缺乏正确的归纳偏置,泛化能力要比卷积网络差。 提出了CoAtNets模型族:
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Deep Convolutional Neural Networks with Merge-and-Run Mappings @yijizhao 推荐 #ResNet 1. 对比 ResNet,从网络宽度角度探索网络结构; 2. 深度融合网络; 3. Merge-and-Run 结构去除 ResNets 极深的那一条线路; 4. 深层数对网络本身性能的提升不是最关键的,从增加模型的潜在网络数目(Ensemble Size)角度思考...
[Paper][Code][Code] ✔️ [Learning to Discover Cross-Domain Relations with Generative Adversarial Networks] [Paper][Code] ✔️ [Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks] [Paper][Code] ✔️ [CoGAN: Coupled Generative Adversarial Networks] ...
with secstatus code 0x%x \n",secStatus);exit(-1);}secStatus=AcquireCredentialsHandle(NULL,(LPWSTR)NTLMSP_NAME,SECPKG_CRED_INBOUND,NULL,NULL,NULL,NULL,&hCredServer,&lifetimeServer);if(!SEC_SUCCESS(secStatus)){printf("AcquireCredentialsHandle Server failed with secstatus code 0x%x \n",sec...