《SCDA：Adapting Object Detectors via Selective Cross-Domain Alignment》论文笔记 - 代码天地

《SCDA：Adapting Object Detectors via Selective Cross-Domain Alignment》论文笔记

其他 2021-04-01 20:32:47 阅读次数: 0

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转载自blog.csdn.net/m_buddy/article/details/113823096

《SCDA：Adapting Object Detectors via Selective Cross-Domain Alignment》论文笔记

【读论文】SwinFusion: Cross-domain Long-range Learning for General Image Fusion via Swin Transformer

论文笔记《Selective Search for object recognition》

论文笔记《Selective Search for Object Recognition》

Distilling Object Detectors with Task Adaptive Regularization论文笔记

论文阅读笔记3——基于域适应弱监督学习的目标检测Cross-Domain Weakly-Supervised Object Detection through Progressive Domain A

DualCross：Cross-Modality Cross-Domain Adaptation for Monocular BEV Perception——论文笔记

论文笔记：Adaptive Cross-Modal Prototypes for Cross-Domain Visual-Language Retrieval

论文笔记：Training Region-based Object Detectors with Online Hard Example Mining

[论文笔记]Speed/accuracy trade-offs for modern convolutional object detectors

论文笔记 OHEM: Training Region-based Object Detectors with Online Hard Example Mining

EANet: Enhancing Alignment for Cross-Domain Person Re-identification

研读《Selective Search for Object Recognition》论文

[论文理解]Selective Search for Object Recognition

Segmentation as Selective Search for Object Recognition论文翻译

Selective Search for Object Recognition论文翻译

【论文笔记】FASF：Feature Selective Anchor-Free Module for Single-Shot Object Detection

笔记一|Selective Search for Object Recognition

【论文笔记】Domain Adaptation via Transfer Component Analysis

论文阅读笔记：Cross-Domain Sentiment Classification with Target Domain Specific Information

Distilling Object Detectors with Fine-grained Feature Imitation阅读笔记

Selective Search for Object Recognition

目标检测论文Selective Search for Object Recognition赏析

Few-shot Object Detection via Feature Reweighting 论文笔记

[初窥目标检测]——《目标检测学习笔记（2）:浅析Selective Search论文——“Selective Search for object recognition”》

论文笔记：Cluster Alignment with a Teacher for Unsupervised Domain Adaptation

one-stage object detectors

论文阅读：YOLOV: Making Still Image Object Detectors Great at Video Object Detection

论文学习笔记（八）DSOD: Learning Deeply Supervised Object Detectors from Scratch

【自监督论文阅读笔记】Deeply Unsupervised Patch Re-Identification for Pre-training Object Detectors

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