Segment Anything combined with CLIP
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Updated
Feb 19, 2024 - Python
Segment Anything combined with CLIP
A Python Library for High-Level Semantic Segmentation Models based on TensorFlow and Keras with pretrained backbones.
Segmentation and Classification models for COVID CT scans (COVID, pneumonia, normal) based on Mask R-CNN.
Code of kaggle semantic segmentation competition: Steel Defect Detection.
MobileNetV3 implementation from scratch using PyTorch.
Surface Defect Detection as a Tensorflow/Keras model microservice container.
[coming soon] CSAMNet: Cross-Scale Attention Modulation for Histopathological Nuclei Segmentation
Fine-tune anime-seg (ISNetDIS) bằng LoRA trên 1306 cặp ảnh-mask để tách nền anime; có split cố định, evaluation trên mask thô, hậu xử lý alpha_gain cho RGBA cutout, merge adapter vào checkpoint, và CLI rmbg cho train/eval/predict/report/make-split với manifest tái lập đầy đủ.
Few-shot Domain Adaptation for Cellular Instance Segmentation
GeoValid Detection Model is the core computer vision component of the GeoValid project. It utilizes deep learning, specifically a DeepLabV3+ architecture, to perform semantic segmentation on geological images, accurately detecting faults and breccia.
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