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<a href="https://github.com/DmitryRyumin/CVPR-2023-Papers/blob/main/sections/2023/main/recognition-categorization-detection-retrieval.md">Recognition: Categorization, Detection, Retrieval</a>
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20 changes: 10 additions & 10 deletions sections/2023/main/recognition-categorization-detection-retrieval.md
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| Decoupling MaxLogit for Out-of-Distribution Detection | [![GitHub](https://img.shields.io/github/stars/Z-ZHHH/CVPR23-DML?style=flat)](https://github.com/Z-ZHHH/CVPR23-DML) | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com//content/CVPR2023/papers/Zhang_Decoupling_MaxLogit_for_Out-of-Distribution_Detection_CVPR_2023_paper.pdf) | [![YouTube](https://img.shields.io/badge/YouTube-%23FF0000.svg?style=for-the-badge&logo=YouTube&logoColor=white)](https://www.youtube.com/watch?v=Y2GzLcvMu7M) |
| Pixels, Regions, and Objects: Multiple Enhancement for Salient Object Detection | [![GitHub](https://img.shields.io/github/stars/yiwangtz/MENet?style=flat)](https://github.com/yiwangtz/MENet) | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com//content/CVPR2023/papers/Wang_Pixels_Regions_and_Objects_Multiple_Enhancement_for_Salient_Object_Detection_CVPR_2023_paper.pdf) | :heavy_minus_sign: |
| Detection Hub: Unifying Object Detection Datasets via Query Adaptation on Language Embedding| :heavy_minus_sign: | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com//content/CVPR2023/papers/Meng_Detection_Hub_Unifying_Object_Detection_Datasets_via_Query_Adaptation_on_CVPR_2023_paper.pdf) <br /> [![arXiv](https://img.shields.io/badge/arXiv-2206.03484-b31b1b.svg)](http://arxiv.org/abs/2206.03484) | [![YouTube](https://img.shields.io/badge/YouTube-%23FF0000.svg?style=for-the-badge&logo=YouTube&logoColor=white)](https://www.youtube.com/watch?v=D5yIlLxA5Gk) |
| BEVFormer v2: Adapting Modern Image Backbones to Bird's-Eye-View Recognition via Perspective Supervision | | | |
| D<sup>2</sup>Former: Jointly Learning Hierarchical Detectors and Contextual Descriptors via Agent-based Transformers | | | |
| CapDet: Unifying Dense Captioning and Open-World Detection Pretraining | | | |
| Mapping Degeneration Meets Label Evolution: Learning Infrared Small Target Detection with Single Point Supervision | | | |
| Generalized UAV Object Detection via Frequency Domain Disentanglement | | | |
| Deep Frequency Filtering for Domain Generalization | | | |
| Adaptive Sparse Convolutional Networks with Global Context Enhancement for Faster Object Detection on Drone Images | | | |
| Improved Test-Time Adaptation for Domain Generalization | | | |
| Matching Is Not Enough: A Two-Stage Framework for Category-Agnostic Pose Estimation | | | |
| Recurrence without Recurrence: Stable Video Landmark Detection with Deep Equilibrium Models | | | |
| BEVFormer v2: Adapting Modern Image Backbones to Bird's-Eye-View Recognition via Perspective Supervision <br/> [![CVPR - Highlight](https://img.shields.io/badge/CVPR-Highlight-FFFF00)]() | :heavy_minus_sign: | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com//content/CVPR2023/papers/Yang_BEVFormer_v2_Adapting_Modern_Image_Backbones_to_Birds-Eye-View_Recognition_via_CVPR_2023_paper.pdf) <br /> [![arXiv](https://img.shields.io/badge/arXiv-2211.10439-b31b1b.svg)](https://arxiv.org/abs/2211.10439) | [![YouTube](https://img.shields.io/badge/YouTube-%23FF0000.svg?style=for-the-badge&logo=YouTube&logoColor=white)](https://www.youtube.com/watch?v=sP_yzc67ykg) |
| D<sup>2</sup>Former: Jointly Learning Hierarchical Detectors and Contextual Descriptors via Agent-Based Transformers | :heavy_minus_sign: | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com//content/CVPR2023/papers/He_D2Former_Jointly_Learning_Hierarchical_Detectors_and_Contextual_Descriptors_via_Agent-Based_CVPR_2023_paper.pdf) | :heavy_minus_sign: |
| CapDet: Unifying Dense Captioning and Open-World Detection Pretraining | :heavy_minus_sign: | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com//content/CVPR2023/papers/Long_CapDet_Unifying_Dense_Captioning_and_Open-World_Detection_Pretraining_CVPR_2023_paper.pdf) <br /> [![arXiv](https://img.shields.io/badge/arXiv-2303.02489-b31b1b.svg)](http://arxiv.org/abs/2303.02489) | [![YouTube](https://img.shields.io/badge/YouTube-%23FF0000.svg?style=for-the-badge&logo=YouTube&logoColor=white)](https://www.youtube.com/watch?v=luzweBuUS2k) |
| Mapping Degeneration Meets Label Evolution: Learning Infrared Small Target Detection With Single Point Supervision | [![GitHub](https://img.shields.io/github/stars/XinyiYing/LESPS?style=flat)](https://github.com/XinyiYing/LESPS) | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com//content/CVPR2023/papers/Ying_Mapping_Degeneration_Meets_Label_Evolution_Learning_Infrared_Small_Target_Detection_CVPR_2023_paper.pdf) <br /> [![arXiv](https://img.shields.io/badge/arXiv-2304.01484-b31b1b.svg)](http://arxiv.org/abs/2304.01484) | [![YouTube](https://img.shields.io/badge/YouTube-%23FF0000.svg?style=for-the-badge&logo=YouTube&logoColor=white)](https://www.youtube.com/watch?v=sWmBtxv-8k8) |
| Generalized UAV Object Detection via Frequency Domain Disentanglement | :heavy_minus_sign: | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com//content/CVPR2023/papers/Wang_Generalized_UAV_Object_Detection_via_Frequency_Domain_Disentanglement_CVPR_2023_paper.pdf) | [![YouTube](https://img.shields.io/badge/YouTube-%23FF0000.svg?style=for-the-badge&logo=YouTube&logoColor=white)](https://www.youtube.com/watch?v=gNlKrXWf8qE) |
| Deep Frequency Filtering for Domain Generalization | :heavy_minus_sign: | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com//content/CVPR2023/papers/Lin_Deep_Frequency_Filtering_for_Domain_Generalization_CVPR_2023_paper.pdf) <br /> [![arXiv](https://img.shields.io/badge/arXiv-2203.12198-b31b1b.svg)](http://arxiv.org/abs/2203.12198) | [![YouTube](https://img.shields.io/badge/YouTube-%23FF0000.svg?style=for-the-badge&logo=YouTube&logoColor=white)](https://www.youtube.com/watch?v=2QawQCl6X7g) |
| Adaptive Sparse Convolutional Networks With Global Context Enhancement for Faster Object Detection on Drone Images | [![GitHub](https://img.shields.io/github/stars/Cuogeihong/CEASC?style=flat)](https://github.com/Cuogeihong/CEASC) | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com//content/CVPR2023/papers/Du_Adaptive_Sparse_Convolutional_Networks_With_Global_Context_Enhancement_for_Faster_CVPR_2023_paper.pdf) <br /> [![arXiv](https://img.shields.io/badge/arXiv-2303.14488-b31b1b.svg)](http://arxiv.org/abs/2303.14488) | [![YouTube](https://img.shields.io/badge/YouTube-%23FF0000.svg?style=for-the-badge&logo=YouTube&logoColor=white)](https://www.youtube.com/watch?v=FQccbuMghCM) |
| Improved Test-Time Adaptation for Domain Generalization | [![GitHub](https://img.shields.io/github/stars/liangchen527/ITTA?style=flat)](https://github.com/liangchen527/ITTA) | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com//content/CVPR2023/papers/Chen_Improved_Test-Time_Adaptation_for_Domain_Generalization_CVPR_2023_paper.pdf) <br /> [![arXiv](https://img.shields.io/badge/arXiv-2304.04494-b31b1b.svg)](http://arxiv.org/abs/2304.04494) | :heavy_minus_sign: |
| Matching Is Not Enough: A Two-Stage Framework for Category-Agnostic Pose Estimation <br/> [![CVPR - Highlight](https://img.shields.io/badge/CVPR-Highlight-FFFF00)]() | [![GitHub](https://img.shields.io/github/stars/flyinglynx/CapeFormer?style=flat)](https://github.com/flyinglynx/CapeFormer) | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com//content/CVPR2023/papers/Shi_Matching_Is_Not_Enough_A_Two-Stage_Framework_for_Category-Agnostic_Pose_CVPR_2023_paper.pdf) | [![YouTube](https://img.shields.io/badge/YouTube-%23FF0000.svg?style=for-the-badge&logo=YouTube&logoColor=white)](https://www.youtube.com/watch?v=K87x9-pdSqE) |
| Recurrence Without Recurrence: Stable Video Landmark Detection With Deep Equilibrium Models | [![GitHub](https://img.shields.io/github/stars/polo5/LDEQ_RwR?style=flat)](https://github.com/polo5/LDEQ_RwR) | [![thecvf](https://img.shields.io/badge/pdf-thecvf-7395C5.svg)](https://openaccess.thecvf.com//content/CVPR2023/papers/Micaelli_Recurrence_Without_Recurrence_Stable_Video_Landmark_Detection_With_Deep_Equilibrium_CVPR_2023_paper.pdf) <br /> [![arXiv](https://img.shields.io/badge/arXiv-2304.00600-b31b1b.svg)](http://arxiv.org/abs/2304.00600) | [![YouTube](https://img.shields.io/badge/YouTube-%23FF0000.svg?style=for-the-badge&logo=YouTube&logoColor=white)](https://www.youtube.com/watch?v=6n95iEFZS_k) |
| VLPD: Context-Aware Pedestrian Detection via Vision-Language Semantic Self-Supervision | | | |
| DETRs with Hybrid Matching | | | |
| Query-Dependent Video Representation for Moment Retrieval and Highlight Detection | | | |
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