Gideon is a hardware-aware feature extractor using distillation and DNAS that achieves 111 fps on STM32N6 under 1.5 MB memory with negligible INT8 quantization loss.
Superpoint: Self-supervised interest point de- tection and description
3 Pith papers cite this work. Polarity classification is still indexing.
3
Pith papers citing it
years
2026 3verdicts
UNVERDICTED 3representative citing papers
Digital Cousins is a generative real-to-sim method that creates diverse high-fidelity simulation scenes from real panoramas to improve generalization in robot learning and evaluation.
EBOD integrates SAM3 with DINOv3 and LightGlue to leverage previous error examples and suppress recurring false positives and negatives without retraining.
citing papers explorer
-
Hardware-Aware Neural Feature Extraction for Resource-Constrained Devices
Gideon is a hardware-aware feature extractor using distillation and DNAS that achieves 111 fps on STM32N6 under 1.5 MB memory with negligible INT8 quantization loss.
-
From Seeing to Simulating: Generative High-Fidelity Simulation with Digital Cousins for Generalizable Robot Learning and Evaluation
Digital Cousins is a generative real-to-sim method that creates diverse high-fidelity simulation scenes from real panoramas to improve generalization in robot learning and evaluation.
-
Example-Based Object Detection
EBOD integrates SAM3 with DINOv3 and LightGlue to leverage previous error examples and suppress recurring false positives and negatives without retraining.