Nov 18, 2022 · In this work, we propose using the most recent object detectors from the YOLOv5 family for the scene graph generation task.
Jan 1, 2023 · Object Detection: For object detection, the two-stage detector Faster R-CNN [29] is used, where the backbone model is ResNetXt101-FPN [41]. The ...
Object Detection on Visual Genome ; 1. YOLOv5x6. 32.7. An Enhanced Object Detection Model for Scene Graph Generation ; 2. MSDN. 7.43. Scene Graph Generation from ...
Jan 21, 2024 · A comprehensive review of 138 papers on scene graph generation is presented. We analyze 2D scene graph generation, focusing on feature representation.
Scene graph detection : aims to generate scene graphs for given videos, comprising detection results of subject-object pari and the associatde predicates.
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Jul 8, 2024 · This work introduces a multi-stage, multimodal pipeline to pre-process videos of traffic accidents, encode them as scene graphs, and align this representation ...
[WACV 2025] This is the official implementation of the paper ...
github.com › scene_graph_commonsense
This work considers the scene graph generation problem. Different from object detection or segmentation, it represents each image as a graph, where each object ...
Our HiKER-SGG leverages hierarchical knowledge to first infer the broader category of an object, for example, animal, before continuing to a more granular ...
Scene graph generation has received growing attention with the advancements in image understanding tasks such as object detection, attributes and relationship
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With weakly-supervision from text, the model can generate semantically-rich and target domain-relevant visual scene graphs. 2 Related Work. 2.1 Vision and ...