😊 即插即用涨点

✅ 【ICASSP2021】SANet | 融合空域与通道注意力

✅ 【CVPR2021】Involution 反转卷积的固有性以进行视觉识别

【CVPR2021 oral】Scaling Local Self-Attention For Parameter Efficient Visual Backbones,代码地址

✅ 【NCA 2020】 Enhanced robustness of convolutional networks with a push–pull inhibition layer

✅ 【ECCV2020】 Dynamic Group Convolution for Accelerating Convolutional Neural Networks,代码地址

✅ 【CVPR2021】Diverse Branch Block: Building a Convolution as an Inception-like Unit

✅ 【CVPR2021 oral】Dynamic Slimmable Network,微信公众号文章

✅ 【CVPR2021】RepVGG: Making VGG-style ConvNets Great Again




😊 图像修复及风格迁移

✅ 【CVPR2020】Self2Self With Dropout: Learning Self-Supervised Denoising From Single Image,代码地址

✅ 【CVPR2021】CoMoGAN: Continuous Model-guided Image-to-Image Translation,代码地址

✅ 【ECCV 2020】 Dual Adversarial Network: Toward Real-world Noise Removal and Noise Generation

✅ 【CVPR2021】Neighbor2Neighbor: Self-Supervised Denoising from Single Noisy Images,微信公众号文章


😊 可解释性与无监督

✅ 【NeurIPS2020】Hold me tight! Influence of discriminative features on deep network boundaries,代码地址

✅ 【CVPR2021】Improving Unsupervised Image Clustering With Robust Learning,代码地址


😊 Transformer

Pyramid Vision Transformer 代码地址:https://github.com/whai362/PVT

✅ Swin Transformer,微信公众号文章,代码即将开源

✅ SiT: Self-supervised image Transformer 代码:https://github.com/Sara-Ahmed/SiT

✅ Fourier Image Transformer, 代码:https://github.com/juglab/FourierImageTransformer

✅ AOT-GAN: Aggregated Contextual Transformations for High-Resolution Image Inpainting, 代码

✅ Rethinking Spatial Dimensions of Vision Transformers, https://github.com/naver-ai/pit




😊 遥感图像

✅ 【TGRS 2020】 A Feature Difference Convolutional Neural Network-Based Change Detection Method

✅ 【TGRS2020】 Joint Classification of Hyperspectral and LiDAR Data Using Hierarchical Random Walk and Deep CNN Architecture

遥感影像语义分割数据集

✅ I-HOPE-PEACE 维护的遥感图像变化检测数据集,Github


😊 其它

【NeurIPS2020数据集】SEVIR : A Storm Event Imagery Dataset for Deep Learning Applications in Radar and Satellite Meteorology 下载地址

✅ 【CVPR2021】KeepAugment:简单的信息保持数据增广方法

✅ 【CVPR2021】Masksembles for Uncertainty Estimation,代码地址

✅ FeatMatch: Feature-Based Augmentation for Semi-Supervised Learning,项目主页

✅ SMIL: Multimodal Learning with Severely Missing Modality,代码地址

✅ 【CVPR2021】Knowledge Evolution in Neural Networks,微信公众号文章