TernScope: Model-Hardware Co-Design for Efficient Ternary Endoscopic Segmentation
eess.IV, cs.AR, cs.CV
Submitted: 2026-10-21
Updated: 2026-10-21
Related papers
- GBT-SAM: A Parameter-Efficient Depth-Aware Model for Generalizable Brain tumour Segmentation on mp-MRI
- PanoDiff-SR: Synthesizing Dental Panoramic Radiographs using Diffusion and Super-resolution
- Nonparametric Distribution Matching for Self-Supervised Whole-Slide Image Condensation
- Revisiting Integration of Image and Metadata for DICOM Series Classification: Cross-Attention and Dictionary Learning
- VesselSDF: Distance Field Priors for Vascular Network Reconstruction
- cSVR: Convolutional Slice-to-Volume Reconstruction