Panoptic 上采用了VoxelPose的AP metric,在最严苛的AP25 metric下相比VoxelPose提升了超过8个点,同时MPJPE低了2mm,可以看出模型更加准确地估计关键点位置。inference 时间减少近一半,效率也提升了。 在shelf和campus上也达到了超过SOTA或者...
比如userId/ItemId/三级类别等。存储消耗过大且缺乏灵活性和可扩展性。
inference 时间减少近一半,效率也提升了。 在shelf和campus上也达到了超过SOTA或者差不多的结果。 作者分析了模型inference效率相对于VoxelPose的优势,可以看出MvP对于不同人数inference时间是固定的,即使是到100个人,inference时间也比10个人的模型只多一点。而VoxelPose则基本处于线性增加的趋势,不利于scale到大的场景。
inference 时间减少近一半,效率也提升了。 在shelf和campus上也达到了超过SOTA或者差不多的结果。 作者分析了模型inference效率相对于VoxelPose的优势,可以看出MvP对于不同人数inference时间是固定的,即使是到100个人,inference时间也比10个人的模型只多一点。而VoxelPose则基本处于线性增加的趋势,不利于scale到大的场景。
《Inference-Time Intervention: Eliciting Truthful Answers from a Language Model》(2023) GitHub: github.com/likenneth/honest_llama《GMSF: Global Matching Scene Flow》(2023) GitHub: github.com/ZhangYushan3/GMSF《Generating with Confidence: Uncertainty Quantification for Black-box Large Language Models》...
作者也进行了充分的ablation来验证模型的各种设计和超参数设定,包括RayConv的有效性,不同joint query设计的效果,inference 置信度阈值的影响,decoder 层数,视角数目,deformable sample的点数。具体分析可见原论文。 05 总结Multi-view pose transformer(MvP)一个非常简单直接的框架,整个模型没有中间任务,没有像多视角2D ...
In this paper, we propose a multi-view adversarially learned inference (ALI) model, termed as MALI, to address these issues. Unlike the common practice of learning direct domain mappings, our model relies on shared latent representations of both domains and can generate arbitrary number of paired...
The paper presents a novel multi-view learning framework based on variational inference. We formulate the framework as a graph representation in form of graph factorization: the graph comprises of factor graphs, which are used to describe internal states of views. Each view is modeled with a Gaus...
[46], creating the R50-FPN backbone configuration. The BatchNorm layer is fine-tuned in line with Detectron2 guidelines. Training images are scaled within a range of 640 to 800 pixels, while a consistent scale of 800 pixels is applied during inference. We perform end-to-end fine-tuning of...
^abYao Y, Luo Z, Li S, et al. Mvsnet: Depth inference for unstructured multi-view stereo[C]//Proceedings of the European Conference on Computer Vision (ECCV). 2018: 767-783. ^https://zhuanlan.zhihu.com/p/138266214 ^https://en.wikipedia.org/wiki/Homography_(computer_vision) ...