定时获取谷歌学术和arxiv论文的相关更新 (代码只有一个py文件，较简单有注释)

## CV Papers Daily - [source-free](#source-free) - [object detection](#object-detection) - [domain adaptation](#domain-adaptation) - [domain generalization](#domain-generalization) - [vision language](#vision-language) ## Updated on 2023.11.22 ## source-free |Date|Title|Authors|PDF|Code|Comments| |:------|:---------------------|:---|:-|:-|:---| |**2023-11-19**|**Source-Free Domain Adaptation for SSVEP-based Brain-Computer Interfaces**|Osman Berke Guneyet.al|[paper](https://arxiv.org/abs/2305.17403)|[code](https://github.com/osmanberke/SFDA-SSVEP-BCI)|-| |**2023-11-14**|**In Search for a Generalizable Method for Source Free Domain Adaptation**|M Boudiaf et.al|[paper](https://arxiv.org/abs/2302.06658)|[code](https://paperswithcode.com/paper/in-search-for-a-generalizable-method-for)|-| |**2023-11-11**|**MAPS: A Noise-Robust Progressive Learning Approach for Source-Free Domain Adaptive Keypoint Detection**|Y Ding et.al|[paper](https://arxiv.org/abs/2302.04589)|[code](https://github.com/yuhed/maps)|-| |**2023-11-7**|**Model-Free Source Seeking by a Novel Single-Integrator with Attenuating Oscillations and Better Convergence: Robotic Experiments**|Shivam Bajpaiet.al|[paper](https://arxiv.org/abs/2311.04330)|-|-| |**2023-11-6**|**Distill-SODA: Distilling Self-Supervised Vision Transformer for Source-Free Open-Set Domain Adaptation in Computational Pathology**|Guillaume Vrayet.al|[paper](https://arxiv.org/abs/2307.04596)|-|-| |**2023-11-4**|**Universal source-free domain adaptation method for cross-domain fault diagnosis of machines**|Y Zhang et.al|[paper](https://www.sciencedirect.com/science/article/pii/S0888327023000663)|-|<details><summary>detail</summary>Mechanical Systems and…, 2023 Elsevier</details>| |**2023-11-2**|**FVP: Fourier Visual Prompting for Source-Free Unsupervised Domain Adaptation of Medical Image Segmentation**|Yan Wanget.al|[paper](https://arxiv.org/abs/2304.13672)|-|-| |**2023-11-2**|**Contrast and Clustering: Learning Neighborhood Pair Representation for Source-free Domain Adaptation**|Y Chen et.al|[paper](https://arxiv.org/abs/2301.13428)|[code](https://github.com/yukilulu/cac)|-| |**2023-10-30**|**Improving Online Source-free Domain Adaptation for Object Detection by Unsupervised Data Acquisition**|Xiangyu Shiet.al|[paper](https://arxiv.org/abs/2310.19258)|-|-| |**2023-10-29**|**TIDo: Source-free Task Incremental Learning in Non-stationary Environments**|AK Ambastha et.al|[paper](https://arxiv.org/abs/2301.12055)|[code](https://paperswithcode.com/paper/tido-source-free-task-incremental-learning-in)|-| |**2023-10-29**|**Adversarial Learning Networks: Source-free Unsupervised Domain Incremental Learning**|AK Ambastha et.al|[paper](https://arxiv.org/abs/2301.12054)|[code](https://paperswithcode.com/paper/adversarial-learning-networks-source-free)|-| |**2023-10-27**|**A Chebyshev Confidence Guided Source-Free Domain Adaptation Framework for Medical Image Segmentation**|Jiesi Huet.al|[paper](https://arxiv.org/abs/2310.18087)|-|-| |**2023-10-25**|**Robust Source-Free Domain Adaptation for Fundus Image Segmentation**|Lingrui Liet.al|[paper](https://arxiv.org/abs/2310.16665)|[code](https://github.com/LinGrayy/PLPB.)|-| |**2023-10-24**|**Cross-platform privacy-preserving CT image COVID-19 diagnosis based on source-free domain adaptation**|Y Feng et.al|[paper](https://www.sciencedirect.com/science/article/pii/S0950705123000746)|-|<details><summary>detail</summary>Knowledge Based Systems, 2023 Elsevier</details>| |**2023-10-21**|**Source-free Subject Adaptation for EEG-based Visual Recognition**|P Lee et.al|[paper](https://arxiv.org/abs/2301.08448)|[code](https://github.com/DeepBCI/Deep-BCI)|-| |**2023-10-21**|**When Source-Free Domain Adaptation Meets Label Propagation**|C Wu et.al|[paper](https://arxiv.org/abs/2301.08413)|-|-| |**2023-10-19**|**Exploiting Low-confidence Pseudo-labels for Source-free Object Detection**|Zhihong Chenet.al|[paper](https://arxiv.org/abs/2310.12705)|-|-| |**2023-10-19**|**Source-Free Domain Adaptive Detection of Concealed Objects in Passive Millimeter-Wave Images**|H Yang et.al|[paper](https://ieeexplore.ieee.org/abstract/document/10019315/)|-|<details><summary>detail</summary>IEEE Transactions on…, 2023 ieeexplore.ieee.org</details>| |**2023-10-18**|**Multi Task Consistency Guided Source-Free Test-Time Domain Adaptation Medical Image Segmentation**|Yanyu Yeet.al|[paper](https://arxiv.org/abs/2310.11766)|-|-| |**2023-10-14**|**Transcending Domains through Text-to-Image Diffusion: A Source-Free Approach to Domain Adaptation**|Shivang Chopraet.al|[paper](https://arxiv.org/abs/2310.01701)|-|-| |**2023-10-13**|**SIDE: Self-supervised Intermediate Domain Exploration for Source-free Domain Adaptation**|Jiamei Liuet.al|[paper](https://arxiv.org/abs/2310.08928)|[code](https://github.com/se111/SIDE)|<details><summary>detail</summary>code at https://github</details>| |**2023-10-9**|**Consistency Regularization for Generalizable Source-free Domain Adaptation**|Longxiang Tanget.al|[paper](https://arxiv.org/abs/2308.01587)|-|<details><summary>detail</summary>Accepted by ICCV 2023 workshop</details>| |**2023-9-25**|**Source-free Depth for Object Pop-out**|Zongwei Wuet.al|[paper](https://arxiv.org/abs/2212.05370)|-|<details><summary>detail</summary>ICCV 2023</details>| |**2023-9-23**|**Dual-Reference Source-Free Active Domain Adaptation for Nasopharyngeal Carcinoma Tumor Segmentation across Multiple Hospitals**|Hongqiu Wanget.al|[paper](https://arxiv.org/abs/2309.13401)|-|-| |**2023-9-19**|**Source-free Active Domain Adaptation for Diabetic Retinopathy Grading Based on Ultra-wide-field Fundus Image**|Jinye Ranet.al|[paper](https://arxiv.org/abs/2309.10619)|-|-| ## object detection |Date|Title|Authors|PDF|Code|Comments| |:------|:---------------------|:---|:-|:-|:---| |**2023-11-21**|**Adaptive Dense Pseudo Label Selection for Semi-supervised Oriented Object Detection**|Tong Zhaoet.al|[paper](https://arxiv.org/abs/2311.12608)|-|-| |**2023-11-20**|**Stable Diffusion For Aerial Object Detection**|Yanan Jianet.al|[paper](https://arxiv.org/abs/2311.12345)|-|<details><summary>detail</summary>NeurIPS 2023 Synthetic Data Generation with Generative AI workshop</details>| |**2023-11-20**|**ABFL: Angular Boundary Discontinuity Free Loss for Arbitrary Oriented Object Detection in Aerial Images**|Zifei Zhaoet.al|[paper](https://arxiv.org/abs/2311.12311)|-|-| |**2023-11-20**|**On the Importance of Large Objects in CNN Based Object Detection Algorithms**|Ahmed Ben Saadet.al|[paper](https://arxiv.org/abs/2311.11714)|-|<details><summary>detail</summary>Journal ref:Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision</details>| |**2023-11-20**|**CastDet: Toward Open Vocabulary Aerial Object Detection with CLIP-Activated Student-Teacher Learning**|Yan Liet.al|[paper](https://arxiv.org/abs/2311.11646)|-|-| |**2023-11-20**|**Explicit3D: Graph Network with Spatial Inference for Single Image 3D Object Detection**|Yanjun Liuet.al|[paper](https://arxiv.org/abs/2302.06494)|-|-| |**2023-11-20**|**Decoupled DETR For Few-shot Object Detection**|Zeyu Shangguanet.al|[paper](https://arxiv.org/abs/2311.11570)|-|-| |**2023-11-19**|**Unifying Tracking and Image-Video Object Detection**|Peirong Liuet.al|[paper](https://arxiv.org/abs/2211.11077)|-|-| |**2023-11-19**|**Enhancing Novel Object Detection via Cooperative Foundational Models**|Rohit Bharadwajet.al|[paper](https://arxiv.org/abs/2311.12068)|[code](https://github.com/rohit901/cooperative-foundational-models)|<details><summary>detail</summary>Code: https://github</details>| |**2023-11-19**|**E-detector: Asynchronous Spatio-temporal for Event-based Object Detection in Intelligent Transportation System**|S Zhang et.al|[paper](https://dl.acm.org/doi/abs/10.1145/3584361)|-|<details><summary>detail</summary>ACM Transactions on Multimedia…, 2023 dl.acm.org</details>| |**2023-11-18**|**Security Fence Inspection at Airports Using Object Detection**|Nils Friederichet.al|[paper