[99] LinkNet: Relational Embedding for Scene Graph

2023๋…„ 1์›” 18์ผ ยท 1 ๋ถ„ ยท long8v ยท 

[95] Pixels to Graphs by Associative Embedding

2023๋…„ 1์›” 4์ผ ยท 2 ๋ถ„ ยท long8v ยท 

[87] Bipartite Graph Network with Adaptive Message Passing for Unbiased Scene Graph Generation

2022๋…„ 12์›” 8์ผ ยท 2 ๋ถ„ ยท long8v ยท 

[86] Graph R-CNN for Scene Graph Generation

2022๋…„ 12์›” 6์ผ ยท 2 ๋ถ„ ยท long8v ยท 

[68] Iterative Scene Graph Generation

2022๋…„ 10์›” 5์ผ ยท 2 ๋ถ„ ยท long8v ยท 

[51] Structured Sparse R-CNN for Direct Scene Graph Generation

2022๋…„ 8์›” 19์ผ ยท 2 ๋ถ„ ยท long8v ยท 

[47] Recovering the Unbiased Scene Graphs from the Biased Ones

2022๋…„ 8์›” 5์ผ ยท 1 ๋ถ„ ยท long8v ยท 

[45] BGT-Net: Bidirectional GRU Transformer Network for Scene Graph Generation

2022๋…„ 8์›” 3์ผ ยท 1 ๋ถ„ ยท long8v ยท 

[46] ReFormer: The Relational Transformer for Image Captioning

2022๋…„ 8์›” 3์ผ ยท 2 ๋ถ„ ยท long8v ยท 

[44] Context-Aware Scene Graph Generation With Seq2Seq Transformers

2022๋…„ 8์›” 2์ผ ยท 2 ๋ถ„ ยท long8v ยท 

[41] Panoptic Scene Graph Generation

2022๋…„ 8์›” 1์ผ ยท 1 ๋ถ„ ยท long8v ยท 

[43] Relation Transformer Network

2022๋…„ 8์›” 1์ผ ยท 3 ๋ถ„ ยท long8v ยท 

[38] Visual Relationship Detection Using Part-and-Sum Transformers with Composite Queries

2022๋…„ 7์›” 22์ผ ยท 2 ๋ถ„ ยท long8v ยท 

[37] Relationformer: A Unified Framework for Image-to-Graph Generation

2022๋…„ 7์›” 21์ผ ยท 2 ๋ถ„ ยท long8v ยท 

RelTR code reading

2022๋…„ 7์›” 21์ผ ยท 1 ๋ถ„ ยท long8v ยท 

[36] SGTR: End-to-end Scene Graph Generation with Transformer

2022๋…„ 7์›” 19์ผ ยท 2 ๋ถ„ ยท long8v ยท 

[35] RelTR: Relation Transformer for Scene Graph Generation

2022๋…„ 7์›” 18์ผ ยท 4 ๋ถ„ ยท long8v ยท