Mar 21, 2024 · In this paper, we present a new Transformer-based method, called DSGG, that views scene graph detection as a direct graph prediction problem based on a unique set of graph-aware queries. In particular, each graph-aware query encodes a compact representation of both the node and all of its relations in the graph, acquired through the utilization ...

In this paper, we present a new Transformer-based method, called DSGG, that views scene graph detection as a direct graph prediction problem based on a unique set of graph-aware queries. In particular, each graph-aware query encodes a compact representation of both the node and all of its relations in the graph, acquired through the utilization ...

In this paper, we present a new Transformer-based method, called DSGG, that views scene graph detection as a direct graph prediction problem based on a unique set of graph-aware queries.

Dec 20, 2024 · 提出了一种新的基于Transformer的方法，DSGG将场景图检测视为基于一组独特的图形感知查询的直接图预测问题。 特别是，每个图感知查询都对图中节点及其所有关系的紧凑表示进行编码，这些表示是通过在训练过程中利用宽松的子图匹配获得的。

DSGG: Dense Relation Transformer for an End-to-end Scene Graph Generation. The patent application is in process and the source code will be available soon.

SGG网络是一个基于单阶段 变换器 的网络，由一个主干网络和一个编解码器网络模块组成。 具体来说，图像首先通过主干网络进行初步的前向传播，使用的是 ResNet-50 、Swin-B或Swin-L。 随后，将位置编码添加到图像特征中，然后通过Transformer编码器进行处理。 Q Q Q， 每个查询 Q i Q_i Qi只代表从一个节点到所有其他节点（包括自身）的有向边（实际上就是表示物体，并包含了和其他物体的信息）。 N N N 为网络中图感知查询的总数。 每个查询. V ^ i = ( c ^ i , b ^ i , m …

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In summary, we propose DSGG, an end-to-end unified technique that investigates scene graph detection as a direct graph prediction problem and estimates multi-label relation probability for each pair of nodes in the graph.

In this paper, we present a new Transformer-based method, called DSGG, that views scene graph detection as a direct graph prediction problem based on a unique set of graph-aware queries. In particular, each graph-aware query encodes a compact representation of both the node and all of its relations in the graph, acquired through the utilization ...

In this paper, we present a new Transformer-based method, called DSGG, that views scene graph detection as a direct graph prediction problem based on a unique set of graph-aware queries. In particular, each graph-aware query encodes a compact representation of both the node and all of its relations in the graph, acquired through the utilization ...