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)**
正在上传...重新上传取消
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)**
正在上传...重新上传取消
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)**
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)**
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)**
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)**
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)**
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)**
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)**
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)**
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)**
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
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)**