【文章阅读】Frustratingly Simple Few-Shot Object Detection - 代码天地

【文章阅读】Frustratingly Simple Few-Shot Object Detection

企业开发 2022-10-25 00:52:19 阅读次数: 0

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转载自blog.csdn.net/qq_39237205/article/details/127458338

【文章阅读】Frustratingly Simple Few-Shot Object Detection

(Few-shot detection)Review: Few-shot Object Detection via Feature Reweighting

(Few-shot Detection)Review: Comparison Network for one-shot Conditional object detection

(Few-shot Detection)Review: Transductive Learning for zero-shot object detection

(few-shot detection)Review: One-shot Object Detection with Co-Attention and co-Excitation

(Few-shot Detection)Review: Fews-shot Object Detection Feature Reweighting

Few-shot Object Detection via Feature Reweighting 论文笔记

Few-Shot Object Detection with Attention-RPN and Multi-Relation Detector(FSOD)论文精度

目标检测论文 Few-Shot Object Detection with Attention-RPN and Multi-Relation Detector

小样本（少样本）目标检测概述（few-shot object detection）

《Dense Relation Distillation with Context-aware Aggregation for Few-Shot Object Detection》论文总结

Dense Relation Distillation with Context-aware Aggregation for Few-Shot Object Detection

[Few-shot]few-shot detection综述

【论文阅读】Siamese Neural Network Based Few-Shot Learning for Anomaly Detection in Industrial Cyber-Physi

CVPR2019的few-shot的文章

few shot object detection via feature reweight笔记

few-shot / one shot / zero shot object counting论文汇总

《Learning to Compare: Relation Network for Few-Shot Learning》论文阅读

论文阅读（六）Prototypical Networks for Few-shot Learning

【笔记】论文阅读 | Optimization as a Model for Few-Shot Learning

【笔记】论文阅读 | Prototypical networks for few-shot learning

【阅读笔记】Prototypical Networks for Few-shot Learning

论文阅读：A New Meta-Baseline for Few-Shot Learning

【论文阅读】Graph Few-shot learning via Knowledge Transfer

(Fewshot detection)Review:RepMet: Representative-based metric learning for few-shot detection

论文阅读-Single-Shot Refinement Neural Network for Object Detection

ACL2022：A Simple yet Effective Relation Information Guided Approach for Few-Shot Relation Extraction

【论文翻译】Pushing the Limits of Simple Pipelines for Few-Shot Learning: External Data and Fine-Tuning Ma

【提示学习】Automatic Multi-Label Prompting: Simple and Interpretable Few-Shot Classification

zero-shot object detection

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