Papers with Code 아카이브
Panoptic Scene Graph Generation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 0
- 평가표
- 1
- 보존된 평가 기록
- 9
PSG task abstracts the given image with a scene graph, where nodes are grounded by panoptic segmentation
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Benchmarking Federated Learning for Semantic Datasets: Federated Scene Graph Generation
Motion-aware Contrastive Learning for Temporal Panoptic Scene Graph Generation
OpenPSG: Open-set Panoptic Scene Graph Generation via Large Multimodal Models
From Easy to Hard: Learning Curricular Shape-aware Features for Robust Panoptic Scene Graph Generation
A Fair Ranking and New Model for Panoptic Scene Graph Generation
4D Panoptic Scene Graph Generation
DSGG: Dense Relation Transformer for an End-to-end Scene Graph Generation
Contextual Associated Triplet Queries for Panoptic Scene Graph Generation
Panoptic Video Scene Graph Generation
VLPrompt: Vision-Language Prompting for Panoptic Scene Graph Generation
TextPSG: Panoptic Scene Graph Generation from Textual Descriptions
Domain-wise Invariant Learning for Panoptic Scene Graph Generation
Panoptic Scene Graph Generation with Semantics-Prototype Learning
Pair then Relation: Pair-Net for Panoptic Scene Graph Generation
HiLo: Exploiting High Low Frequency Relations for Unbiased Panoptic Scene Graph Generation
Panoptic Scene Graph Generation
Learning to Compose Dynamic Tree Structures for Visual Contexts
Neural Motifs: Scene Graph Parsing with Global Context
Scene Graph Generation by Iterative Message Passing
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.