Anchor Assignment and Sampling Heuristics in Deep Object Detection: A Review
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Aug 2, 2022
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transformer-based-object-detection
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A deep learning–based computer vision training pipeline for car damage detection using a Co-DETR learner enhanced with CBAM Attention, Hybrid Loss, and Albumentations. Trains on Colab to identify and localize car body defects such as scratches, dents, and rust. Includes end-to-end model training and quantitative evaluation.
computer-vision deep-learning colab coco car-damage-detector cbam albumentations car-damage-detection swin-transformer transformer-based-object-detection co-detr
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Jun 3, 2025 - Jupyter Notebook
This repository accompanies the article entitled "Automated Classification of Oral Cancer Lesions: Vision Transformer vs Radiomics."
radiomics vision-transformers transformer-based-object-detection oral-cancer transformer-based-segmentation
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Mar 29, 2024 - Jupyter Notebook
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