CV计算机视觉每日开源代码Paper with code速览-2023.10.9

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1.【基础网络架构】Entropic Score metric: Decoupling Topology and Size in Training-free NAS

• 论文地址：https://arxiv.org//pdf/2310.04179

• 开源代码（即将开源）：NiccoloCavagnero/EntropicScore · GitHub

2.【基础网络架构】TiC: Exploring Vision Transformer in Convolution

• 论文地址：https://arxiv.org//pdf/2310.04134

• 开源代码：GitHub - zs670980918/MSA-Conv: TiC: Exploring Vision Transformer in Convolution

3.【目标检测：伪装目标】Collaborative Camouflaged Object Detection: A Large-Scale Dataset and Benchmark

• 论文地址：https://arxiv.org//pdf/2310.04253

• 开源代码（即将开源）：GitHub - zc199823/BBNet--CoCOD

4.【语义分割】DiffPrompter: Differentiable Implicit Visual Prompts for Semantic-Segmentation in Adverse Conditions

• 论文地址：https://arxiv.org//pdf/2310.04181

• 工程主页：DiffPrompter: Differentiable Implicit Visual Prompts for Object-Segmentation in Adverse Conditions

• 开源代码：GitHub - DiffPrompter/diff-prompter

5.【医学图像分割：3D】FNOSeg3D: Resolution-Robust 3D Image Segmentation with Fourier Neural Operator

• 论文地址：https://arxiv.org//pdf/2310.03872

• 开源代码：GitHub - IBM/multimodal-3d-image-segmentation: This repository contains the source code of our proposed multimodal image segmentation frameworks. The network architectures and training procedure are provided to reproduce the experimental results in our publications.

6.【超分辨率重建】Degradation-Aware Self-Attention Based Transformer for Blind Image Super-Resolution

• 论文地址：https://arxiv.org//pdf/2310.04180

• 开源代码：GitHub - I2-Multimedia-Lab/DSAT: The code of ' Degradation-Aware Self-Attention Based Transformer for Blind Image Super-Resolution '.

7.【类别增量学习】OpenIncrement: A Unified Framework for Open Set Recognition and Deep Class-Incremental Learning

• 论文地址：https://arxiv.org//pdf/2310.03848

• 开源代码：GitHub - gawainxu/OpenIncremen

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