- 🌱 Focus on
Deep Learning
andComputer Vision
- 👨🔬 ENTJ Personality
- 🏫 Studied at HUST
- 🔭 Lifelong Learner | Open-source Enthusiast
- 💭 Wanna Go Around the World
- 😋 Like Oolong Tea & Roguelike Game
world.execute(me);
Name: Shijie Lian
Type: User
Company: Huazhong University of Science and Technology
Location: 0.0.0.0
Pointers to large-scale underwater datasets and relevant resources.
Interactive semi-automatic image segmentation annotation tool. Supports SAM(segment anything model), sam-hq, MobileSAM etc.(交互式半自动图像分割标注工具,支持SAM,sam-hq, MobileSAM等模型)
Lian Shijie's personal homepage
Pytorch Implementation of LNSNet for Superpixel Segmentation
Lian ShiJie’s Repository
make by 2022/5/9
A central hub for gathering and showcasing amazing projects that extend OpenMMLab with SAM and other exciting features.
Python code for several metrics: PSNR, SSIM, UCIQE and UIQM
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
We developed a python UI based on labelme and segment-anything for pixel-level annotation. It support multiple masks generation by SAM(box/point prompt), efficient polygon modification and category record. We will add more features (such as incorporating CLIP-based methods for category proposal and VOS methods for video datasets
A batched offline inference oriented version of segment-anything
Semantic Segmentation model for TensorCLIP
Evaluation of Segment Anything Model 2: The Role of SAM2 in the Underwater Environment
[ICML 2024] Official repository of the paper: "Diving into Underwater: Segment Anything Model Guided Underwater Salient Instance Segmentation and A Large-scale Dataset"
This repo is the official implementation of "WaterMask: Instance Segmentation for Underwater Imagery", and has been accepted by ICCV2023! 🎉🎉🎉
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