Self-supervised 3D object detection from RGB videos using geometric constraints.Temporal continuity repaces additional sensors in training.Self-supervision enables fine-tuning on real data without labels.doi:10.1016/j.cviu.2025.104320Issa MouawadMaLGa-DIBRIS, University of Genoa, ItalyNikolas Brasch...
1个support object的class weights(first view)和它的transformed version(second view),在feature space中应该尽可能接近。作者发现使用L2 distance最好 对1个view进行pooling提取feature,但从另1个view生成proposal,得到的detection results用于计算另1个detection loss(regression and classification) 2★SELF-SUPERVISED PR...
【AAAI2022】用于RGB-D突出物体检测的自监督预训练一、摘要1.1 存在的问题(1)现有的全监督 显著对象检测 (Salient Object Detection,SOD) 方法几乎都是采用基于ImageNet预训练的Backbone作为编码器,与解码器(…
In this paper, we propose a novel self-supervised representation learning method, Self-EMD, for object detection. Our method directly trained on unlabeled non-iconic image dataset like COCO, instead of commonly used iconic-object image dataset like ImageNet. We keep the convolutional feature maps ...
Facebook AI researchers this week announced SEER, a self-supervised model that surpasses the best self-supervised systems, and also outperforms supervised models on tasks including image classification, object detection, and segmentation. Combining RegNet architectures with the SwAV online clustering ...
denoising and object detection were used as exclusion criteria in the search. The search encompassed papers published between January 2012 and May 2021. The start date was considered appropriate due to the rising popularity of deep learning for computer vision since the 2012 ImageNet challenge. The...
第三种Evaluation 就是将 Pretrained Model 运用在各种Vision Task 上,例如拿到 Object Detection 或 Segmentation 任务上依旧能表现不错。 回到CPC 这篇文章,ResNet-50 Linear Protocol 能达到 Top-1 71.5% 的准确率;在 Efficient Classification Protocol上,能比原本 Supervised Learning 的方式省掉至少 50% ~ 80...
Through extensive experiments, we make a direct comparison between supervised and self-supervised learning on four datasets from three different domains (household, manufacturing and medical). For object classes seen during training, self-supervised and supervised learning are competitive. For unseen classe...
第三种Evaluation 就是将 Pretrained Model 运用在各种Vision Task 上,例如拿到 Object Detection 或 Segmentation 任务上依旧能表现不错。 回到CPC 这篇文章,ResNet-50 Linear Protocol 能达到 Top-1 71.5% 的准确率;在 Efficient Classification Protocol上,能比原本 Supervised Learning 的方式省掉至少 50% ~ 80...
Towards Human-Machine Cooperation: Self-supervised Sample Mining for Object Detection Keze Wang,Xiaopeng Yan, Dongyu Zhang,Lei Zhang,Liang Lin Sun Yat-Sen University, Presented atCVPR2018 License For Academic Research Use Only! Citing SSM If you find SSM useful in your research, please consider ci...