Ressources

Proposés par Mr Ramel

Papers

• Fusion of Spatial Relationships for Guiding Recognition, Example of Brain Structure Recognition in 3D MRI
• Spatial-Aware Object Embeddings for Zero-Shot Localization and Classification of Actions
• Learning Spatial Relationships between Objects
• Identifying Spatial Relations in Images using Convolutional Neural Networks
• Dynamic-structured Semantic Propagation Network
• Learning Human-Object Interactions by Graph Parsing Neural Networks
• Structure Inference Net: Object Detection Using Scene-Level Context and Instance-Level Relationships
• Learning to Segment Every Thing
• COCO-Stuff: Thing and Stuff Classes in Context
• Spatial Semantic Regularisation for Large Scale Object Detection

Articles

http://tkipf.github.io/graph-convolutional-networks/

Autres

Geometric deep learning on graphs and manifolds using mixture model CNNs : Code : http://geometricdeeplearning.com/code/MoNet/MoNet_code.tar.gz Vidéo : https://www.youtube.com/watch?v=-b0e41H4J_A

Articles supplémentaires intéressants

• Mémoire sur la détection de relations spatiales entre des objets

• Comparaison des algorithmes r-cnn, fast r-cnn, faster r-cnn et yolo.

• Comment fonctionne les algorithmes R-CNN, Yolo, SSD + comparaison de performances

• Comment fonctionne Mask R-CNN et TensorFlow