Few-shot Object DetectionWaste localizationWaste recognitionVariational AutoencoderFeature AggregationFew-shot detection lessens the need for extensive labeled data in waste detection.VAEs minimize noise from w
Few-Shot Object Detection via Variational Feature Aggregation (AAAI2023) Jiaming Han,Yuqiang Ren,Jian Ding,Ke Yan,Gui-Song Xia. arXiv preprint. Our code is based onmmfewshot. Setup Installation Here is a from-scratch setup script. conda create -n vfa python=3.8 -y conda activate vfa conda...
Few-shot Object Detection via Feature Reweighting (检测) motivation:小样本的检测问题,测试时对新类别进行检测和分类。 方法:提出了一个feature-reweighting模块,根据support class生成每个类的re-weight权重,使之得到类相关的特征,再根据类相关的特征进行该类的框预测和该类的得分。 SILCO: Show a Few Images, ...
Few-Shot Object Detection via Variational Feature Aggregation AAAI 2023 武汉大学,腾讯优图实验室 arxiv.org/pdf/2301.1341 由于小样本目标检测器通常使用丰富的基样本进行训练,并在小样本新样本上进行微调,因此学习到的模型通常会偏向基类并对新样本的方差敏感。为解决该问题,本文提出一种具有两种新的特征聚合方案的...
Aiming at the problem of insufficient samples in low-light object detection in some environments, a low-light few-shot object detection method based on curve contrast enhancement and flow-encoder-based variational autoencoder (CCEFVAE) is proposed. Our approach involves designing a CCE module to en...
Few-Shot Object Detection via Variational Feature Aggregation, AAAI 2023. Disentangle and Remerge: Interventional Knowledge Distillation for Few-Shot Object Detection from A Conditional Causal Perspective,AAAI 2023. 2022 DCFS: Decoupling Classifier for Boosting Few-shot Object Detection and Instance Segment...
poor quality [37]. Li et al. design a hyper-network for few-shot object detection [38]. Han et al. utilize variational autoencoder to sample robust variational features from the support set [39]. Also, some reachers contribute to few-shot segmentation. For instance, Cheng et al. propose...
Therefore, to solve the above problems, this paper proposes a variable few-shot intrusion detection model GDE Model for IoT, which contains a data processing module consisting of an improved Gramian Angular Fields(GAF), a data augmentation module consisting of an improved Denoising Diffusion ...
Bi-directional Feature Reconstruction Network for Fine-Grained Few-Shot Image ClassificationWu Jijie; Chang Dongliang; Sain Aneeshan; Li Xiaoxu; Ma Zhanyu; Cao Jie; Guo Jun; Song Yi-ZheFew-Shot Object Detection via Variational Feature AggregationHan Jiaming; Ren Yuqiang; Ding Jian; Yan Ke; ...
metric learning via variational inference Dense classification and implanting for few-shot learning. CVPR 2019 metric-based [by CDFS] Subspace Networks for Few-shot Classification. arXiv'1905.13613 follow "A Closer Look at Few-shot Classification" 的設定 根據embedded query point 到每個 class subspace...