A trainable 3D interaction space aims to captures the associations between the triplet components and helps model the recognition of multiple triplets in the same frame.
Source: Nwoye et al.
Image source: Nwoye et al.
Source: Recognition of Instrument-Tissue Interactions in Endoscopic Videos via Action TripletsPaper | Code | Results | Date | Stars |
---|
Task | Papers | Share |
---|---|---|
3D Instance Segmentation | 1 | 12.50% |
Instance Segmentation | 1 | 12.50% |
Semantic Segmentation | 1 | 12.50% |
Time Series Analysis | 1 | 12.50% |
Action Localization | 1 | 12.50% |
Action Recognition | 1 | 12.50% |
Action Triplet Recognition | 1 | 12.50% |
Weakly Supervised Action Localization | 1 | 12.50% |
Component | Type |
|
---|---|---|
🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |