
-
Nanyang Technological University
- Singapore
-
21:48
(UTC +08:00)
Highlights
- Pro
Stars
Code for WACV 2024, Self-Sampling Meta SAM: Enhancing Few-shot Medical Image Segmentation with Meta-Learning
EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything
[AAAI 2025] Official PyTorch implementation of "TinySAM: Pushing the Envelope for Efficient Segment Anything Model"
A simple aruco marker tracking library for the HoloLens and the Unity Editor
A distilled Segment Anything (SAM) model capable of running real-time with NVIDIA TensorRT
This is the repository for paper: Gradient-based Parameter Selection for Efficient Fine-Tuning
[ECCV 2024 Oral] The official implementation of "CAT-SAM: Conditional Tuning for Few-Shot Adaptation of Segment Anything Model".
Code for T-Few from "Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning"
Unofficial implementation of YOLO-World + EfficientSAM for ComfyUI
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…
This is an official repo for fine-tuning SAM to customized medical images.
A human-computer interaction system that combines eye tracking with Segment Anything Model (SAM), and it enables users to segment object they are looking at in real-time. [NeurIPSW 2023]
Let your Claude able to think
ARETT: Augmented Reality Eye Tracking Toolkit for Head Mounted Displays
Model Context Protocol Servers
Segment Anything in Medical Images
[ICCV'23 Workshop] SAM3D: Segment Anything in 3D Scenes
Personalize Segment Anything Model (SAM) with 1 shot in 10 seconds
In-hand scanning with Microsoft HoloLens 2 for irregular geometries
get depth and imu sensor stream from hololens2 at C# script in Unity project
Unity Plugin for using research mode functionality in HoloLens 2. Modified based on HoloLens2ForCV.