计算机视觉开源代码汇总
1.【基础网络架构】Regularization of polynomial networks for image recognition
论文地址:https://arxiv.org/pdf/2303.13896.pdf
开源代码:https://github.com/grigorisg9gr/regularized_polynomials
2.【目标检测:域自适应】2PCNet: Two-Phase Consistency Training for Day-to-Night Unsupervised Domain Adaptive Object Detection
论文地址: https://arxiv.org/pdf/2303.13853.pdf
开源代码:https://github.com/mecarill/2pcnet
4.【目标跟踪:数据集】ARKitTrack: A New Diverse Dataset for Tracking Using Mobile RGB-D Data
论文地址:**[https://](https://link.zhihu.com/?target=https%3A//arxiv.org/pdf/2303.13885.pdf)**
* 工程主页:https://arkittrack.github.io/
* 开源代码(即将开源):[GitHub - lawrence-cj/ARKitTrack: PyTorch implementation of ARKitTrack for CVPR'2023 paper "ARKitTrack: A New Diverse Dataset for Tracking Using Mobile RGB-D Data", by Haojie Zhao, Junsong Chen, Lijun Wang, Huchuan Lu. Code will be released here.](https://github.com/lawrence-cj/ARKitTrack)
5.【异常检测】Anomaly Detection under Distribution Shift
* 论文地址:**[https://arxiv.org/pdf/2303.13845.pdf](https://link.zhihu.com/?target=https%3A//arxiv.org/pdf/2303.13845.pdf)**
* 开源代码(即将开源):**[https://github.com/mala-lab/ADS](https://link.zhihu.com/?target=https%3A//github.com/mala-lab/ADShift)**
7.【视觉3D目标检测】MoGDE: Boosting Mobile Monocular 3D Object Detection with Ground Depth Estimation
* 论文地址:**[https://arxiv.org/pdf/2303.13561.pdf](https://link.zhihu.com/?target=https%3A//arxiv.org/pdf/2303.13561.pdf)**
* 代码即将开源
8.【3D目标检测】Collaboration Helps Camera Overtake LiDAR in 3D Detection
* 论文地址:**[https://arxiv.org/pdf/2303.13560.pdf](https://link.zhihu.com/?target=https%3A//arxiv.org/pdf/2303.13560.pdf)**
* 开源代码(即将开源):**[https://github.com/MediaBrain-S](https://link.zhihu.com/?target=https%3A//github.com/MediaBrain-SJTU/CoCa3D)**
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9.【医学图像分割:半监督】Inherent Consistent Learning for Accurate Semi-supervised Medical Image Segmentation
* 论文地址:**[https://arxiv.org/pdf/2303.14175.pdf](https://link.zhihu.com/?target=https%3A//arxiv.org/pdf/2303.14175.pdf)**
* 开源代码:**[https://github.com/zhuye98/ICL.](https://link.zhihu.com/?target=https%3A//github.com/zhuye98/ICL.git)**
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10.【医学图像分割:Few Shot】Few Shot Medical Image Segmentation with Cross Attention Transformer
* 论文地址:**[https://arxiv.org/pdf/2303.13867.pdf](https://link.zhihu.com/?target=https%3A//arxiv.org/pdf/2303.13867.pdf)**
* 代码即将开源
11.【三维重建】BundleSDF: Neural 6-DoF Tracking and 3D Reconstruction of Unknown Objects
* 论文地址:**[https://arxiv.org/pdf/2303.14158.pdf](https://link.zhihu.com/?target=https%3A//arxiv.org/pdf/2303.14158.pdf)**
* 工程主页:**[https://bundlesdf.github.io/](https://link.zhihu.com/?target=https%3A//bundlesdf.github.io/)**
* 代码即将开源
12.【人脸重建】NeuFace: Realistic 3D Neural Face Rendering from Multi-view Images
* 论文地址:**[https://arxiv.org/pdf/2303.14092.pdf](https://link.zhihu.com/?target=https%3A//arxiv.org/pdf/2303.14092.pdf)**
* 开源代码:**[https://github.com/aejion/NeuFace](https://link.zhihu.com/?target=https%3A//github.com/aejion/NeuFace)**
13.【类别增量学习】Class-Incremental Exemplar Compression for Class-Incremental Learning
* 论文地址:**[https://arxiv.org/pdf/2303.14042.pdf](https://link.zhihu.com/?target=https%3A//arxiv.org/pdf/2303.14042.pdf)**
* 开源代码(即将开源):**[https://github.com/xfflzl/CIM-C](https://link.zhihu.com/?target=https%3A//github.com/xfflzl/CIM-CIL)**
14.【自动驾驶:场景补全】StereoScene: BEV-Assisted Stereo Matching Empowers 3D Semantic Scene Completion
* 论文地址:**[https://arxiv.org/pdf/2303.13959.pdf](https://link.zhihu.com/?target=https%3A//arxiv.org/pdf/2303.13959.pdf)**
* 开源代码:**[https://github.com/Arlo0o/Stere](https://link.zhihu.com/?target=https%3A//github.com/Arlo0o/StereoScene)**
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15.【类别增量学习】Two-level Graph Network for Few-Shot Class-Incremental Learning
* 论文地址:**[https://arxiv.org/pdf/2303.13862.pdf](https://link.zhihu.com/?target=https%3A//arxiv.org/pdf/2303.13862.pdf)**
* 开源代码(即将开源):**[https://github.com/sukechenhao/](https://link.zhihu.com/?target=https%3A//github.com/sukechenhao/SCGN)**
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16.【神经网络量化】Hard Sample Matters a Lot in Zero-Shot Quantization
* 论文地址:**[https://arxiv.org/pdf/2303.13826.pdf](https://link.zhihu.com/?target=https%3A//arxiv.org/pdf/2303.13826.pdf)**
* 开源代码:**[https://github.com/lihuantong/HAST](https://link.zhihu.com/?target=https%3A//github.com/lihuantong/HAST)**
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20.【姿态估计】NOPE: Novel Object Pose Estimation from a Single Image
* 论文地址:**[https://arxiv.org/pdf/2303.13612.pdf](https://link.zhihu.com/?target=https%3A//arxiv.org/pdf/2303.13612.pdf)**
* 开源代码(即将开源):**[https://github.com/nv-nguyen/nope](https://link.zhihu.com/?target=https%3A//github.com/nv-nguyen/nope)**
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21.【医学图像】Leveraging Old Knowledge to Continually Learn New Classes in Medical Images
* 论文地址:**[https://arxiv.org/pdf/2303.13752.pdf](https://link.zhihu.com/?target=https%3A//arxiv.org/pdf/2303.13752.pdf)**
* 开源代码:**[https://github.com/EvelynChee/LO2LN](https://link.zhihu.com/?target=https%3A//github.com/EvelynChee/LO2LN)**
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22.【点云异常检测】Complementary Pseudo Multimodal Feature for Point Cloud Anomaly Detection
* 论文地址:**[https://arxiv.org/ftp/arxiv/papers/2303/2303.13194.pdf](https://link.zhihu.com/?target=https%3A//arxiv.org/ftp/arxiv/papers/2303/2303.13194.pdf)**
* 开源代码(即将开源):**[https://github.com/caoyunkang/CPMF](https://link.zhihu.com/?target=https%3A//github.com/caoyunkang/CPMF)**
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18.【点云分割】Position-Guided Point Cloud Panoptic Segmentation Transformer
* 论文地址:**[https://arxiv.org/pdf/2303.13509.pdf](https://link.zhihu.com/?target=https%3A//arxiv.org/pdf/2303.13509.pdf)**
* 开源代码(即将开源):**[https://github.com/SmartBot-PJLab/P3Former](https://link.zhihu.com/?target=https%3A//github.com/SmartBot-PJLab/P3Former)**
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17.【点云3D目标检测:自监督预训练】MV-JAR: Masked Voxel Jigsaw and Reconstruction for LiDAR-Based Self-Supervised Pre-Training
* 论文地址:**[https://arxiv.org/pdf/2303.13510.pdf](https://link.zhihu.com/?target=https%3A//arxiv.org/pdf/2303.13510.pdf)**
* 开源代码(即将开源):**[https://github.com/SmartBot-PJL](https://link.zhihu.com/?target=https%3A//github.com/SmartBot-PJLab/MV-JAR)**
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15.【点云:自监督学习】PointGame: Geometrically and Adaptively Masked Auto-Encoder on Point Clouds
* 论文地址:**[https://arxiv.org/pdf/2303.1310](https://link.zhihu.com/?target=https%3A//arxiv.org/pdf/2303.13100.pdf)**
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7.【异常检测:医学图像】Confidence-Aware and Self-Supervised Image Anomaly Localisation
* 论文地址:**[https://arxiv.org/pdf/2303.13227.pdf](https://link.zhihu.com/?target=https%3A//arxiv.org/pdf/2303.13227.pdf)**
* 代码即将开源
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2.【动作识别】A Large-scale Study of Spatiotemporal Representation Learning with a New Benchmark on Action Recognition
* 论文地址:**[https://arxiv.org/pdf/2303.13505.pdf](https://link.zhihu.com/?target=https%3A//arxiv.org/pdf/2303.13505.pdf)**
* 开源代码:**[https://github.com/AndongDeng/B](https://link.zhihu.com/?target=https%3A//github.com/AndongDeng/BEAR)**
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