论文:https://arxiv.org/abs/2204.01018[2204.01018] TransRAC: Encoding Multi-scale Temporal Correlation with Transformers for Repetitive Action Counting (arxiv.org)
代码:https://github.com/SvipRepetitionCounting/TransRACGitHub - SvipRepetitionCounting/TransRAC: (CVPR 2022 Oral) Official implemention: TransRAC数据集:https://svip-lab.github.io/dataset/RepCount_dataset.html
Shanghaitech Vision and Intelligent Perception(SVIP) LAB (svip-lab.github.io)
论文:https://arxiv.org/abs/2103.14098
代码:GitHub - qliu24/render-3d-segmentation
数据:UDA-Part: A Part Segmentation Dataset Based on 3D Computer Graphics Models | UDA-Part
论文:[2204.00822] Semantic-Aware Domain Generalized Segmentation (arxiv.org)
代码:
论文:[2201.02973] MAXIM: Multi-Axis MLP for Image Processing (arxiv.org)
代码:https://github.com/google-research/maxim
论文:[2204.01458] Correlation Verification for Image Retrieval (arxiv.org)
代码:GitHub - sungonce/CVNet: Official PyTorch Implementation of Correlation Verifcation for Image Retrieval, CVPR 2022 (Oral Presentation)
论文:[2203.15102] Rethinking Semantic Segmentation: A Prototype View (arxiv.org)
代码:GitHub - tfzhou/ProtoSeg: CVPR2022 (Oral) - Rethinking Semantic Segmentation: A Prototype View
论文:[2204.02148] Dual-AI: Dual-path Actor Interaction Learning for Group Activity Recognition (arxiv.org)
代码:Dual-AI: Dual-path Actor Interaction Learning for Group Activity Recognition (mingfei.info)
论文:[2112.05143] GAN-Supervised Dense Visual Alignment (arxiv.org)
代码:https://github.com/wpeebles/gangealing
项目:GAN-Supervised Dense Visual Alignment (wpeebles.com)
论文:[2112.08177] Multi-View Depth Estimation by Fusing Single-View Depth Probability with Multi-View Geometry (arxiv.org)
代码:GitHub - baegwangbin/MaGNet: (CVPR 2022 - oral) Multi-View Depth Estimation by Fusing Single-View Depth Probability with Multi-View Geometry
SeqFormer:https://arxiv.org/abs/2112.08275
IDOL:https://arxiv.org/abs/2207.10661
官方代码地址:https://github.com/wjf5203/VNex
ECCV 2022 Oral | 满分论文!视频实例分割新SOTA:SeqFormer & IDOL - 知乎 (zhihu.com)
In Defense of Online Models for Video Instance Segmentation - 知乎 (zhihu.com)
https://arxiv.org/abs/2207.10661
数据集下载:github.com/LUSSeg/ImageNet-S
主流方法代码:github.com/LUSSeg/ImageNetSegModel
论文所提出的方法:github.com/LUSSeg/PASS
论文地址:arxiv.org/pdf/2106.03149.pdf
TPAMI2022: 大规模无监督语义分割(LUSS)及其数据集 Image-S
论文地址:https://arxiv.org/pdf/2206.06363.pdf
开源代码:https://github.com/wvangansbeke/MaskDistill
无监督语义分割-MaskDistill:用Transformer来挖掘先验,不需要任何标注数据达到SOTA
https://arxiv.org/pdf/2203.12612.pdf
语义分割新范式:上海 AI Lab 联合北邮、商汤提出 StructToken
论文地址:https://arxiv.org/abs/2207.08409[1]
代码地址:https://github.com/Sense-X/TokenMix[2]
ECCV 2022 吊打MixUp和CutMix!MMLab&商汤提出超强数据增强策略《TokenMix》! - 知乎 (zhihu.com)
论文地址:https://arxiv.org/pdf/2111.15193.pdf
代码地址:https://github.com/OliverRensu/Shunted-Transformer
CVPR2022 Oral - Shunted Transformer:全新多尺度视觉 Transformer 主干网络
论文地址:https://arxiv.org/pdf/2203.10739.pdf
代码地址:https://github.com/megvii-research/TreeEnergyLoss
CVPR2022-Tree Energy Loss:能够扩展弱监督语义分割中稀疏真值标签的新方法
精读Tree Energy Loss: Towards Sparsely Annotated Semantic Segmentation_格里芬阀门工的博客-CSDN博客
论文地址:https://arxiv.org/pdf/2110.07110.pdf
代码地址:未开源
CVPR2022-Pixel-to-Prototype Contrast:将对比学习应用于弱监督语义分割
论文地址:https://arxiv.org/pdf/2203.00962.pdf
代码地址:https://github.com/zhaozhengChen/ReCAM
CVPR2022-Class Re-Activation Maps:用于弱监督语义分割的类重新激活图
论文地址:https://arxiv.org/pdf/2103.11351.pdf
代码地址:https://github.com/wanglixilinx/CDCL
AAAI2022-Cross-Dataset Collaborative Learning: 语义分割中的跨数据集协同学习
Cross-Dataset Collaborative Learning for Semantic Segmentation - 知乎
论文地址:https://openreview.net/pdf?id=0EXmFzUn5I
github地址:https://github.com/alipay/Pyraf
ICLR 2022 Oral | 蚂蚁集团用于长程时序建模的开源算法Pyraformer简介 - 知乎
ICLR 2022 Oral论文中得分排名前五的高分论文“发现并证明神经网络表征瓶颈”(得分10,8,8,8) - 知乎
论文链接:https://arxiv.org/abs/2110.06207
项目链接:https://github.com/sgvaze/osr_closed_set_all_you_need
相得益彰!提升模型闭集分类精度即可提升开集检测的准确率(ICLR 2022 oral)
下载地址:https://openreview.net/pdf?id=EhYjZy6e1gJ
ICLR 2022 Oral: Non-Transferable Learning(反迁移学习) - 知乎
ICLR2022oral site:zhuanlan.zhihu.com
清华、人大获奖,浙大提名,ICLR 2022杰出论文奖出炉 - 知乎
一文看尽 CVPR 2022 最新 20 篇 Oral 论文_机器学习社区的博客-CSDN博客_cvpr oral
ECCV 2022 Oral | 满分论文!视频实例分割新SOTA:SeqFormer & IDOL - 知乎 (zhihu.com)