Methodology 作者提出TIMAM (Text-Image Modality Adversarial Matching)方法,比較簡潔明了,具體包含三個部分: (1)特征提取器: 文 ...
一 知識背景 D scan amp cloud points 點雲 patch based features,fully convolutional network, deep metric learning, sparse tensors,sparse convolutions, hard negetive mining, contrastive loss, triplet loss, batc ...
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Methodology 作者提出TIMAM (Text-Image Modality Adversarial Matching)方法,比較簡潔明了,具體包含三個部分: (1)特征提取器: 文 ...
論文原址:https://arxiv.org/abs/1904.01355 github: tinyurl.com/FCOSv1 摘要 本文提出了一個基於全卷積的單階段檢測網絡,類似於語義分割,針對每個像素進行預測。RetinaNet,SSD,YOLOv3,Faster ...
細粒度語義分割:ICCV2019論文解析 Fine-Grained Segmentation Networks: Self-Supervised Segmentation for Improved Long-Term Visual Localization 論文鏈接 ...
無監督域對抗算法:ICCV2019論文解析 Drop to Adapt: Learning Discriminative Features for Unsupervised Domain Adaptation 論文鏈接: http ...
噪聲標簽的負訓練:ICCV2019論文解析 NLNL: Negative Learning for Noisy Labels 論文鏈接: http://openaccess.thecvf.com/content_ICCV_2019/papers ...
人臉真偽驗證與識別:ICCV2019論文解析 Face Forensics++: Learning to Detect Manipulated Facial Images 論文鏈接: http://openaccess.thecvf.com/content_ICCV_2019 ...
結構感知圖像修復:ICCV2019論文解析 StructureFlow: Image Inpainting via Structure-aware Appearance Flow 論文鏈接: http://openaccess.thecvf.com ...
點雲配准的端到端深度神經網絡:ICCV2019論文解讀 DeepVCP: An End-to-End Deep Neural Network for Point Cloud Registration 論文鏈接: http://openaccess.thecvf.com ...