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  **Model Description**
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- This release includes two self-supervised pretrained models integrated with the Mitigating Perspective Distortion (MPD) technique. The models are:
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- 1. ResNet50 pretrained using SimCLR (Simple Framework for Contrastive Learning of Visual Representations)
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- 2. ViT-small pretrained using DINO (Self-Distillation with No Labels)
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  Both models were trained with a *batch size of 512* over *100 epochs*. The MPD method enhances the robustness of these models by simulating real-world perspective distortions, making them more robust in various computer vision tasks.
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  **Model Description**
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+ This release includes two self-supervised pretrained models integrated with the Mitigating Perspective Distortion (MPD) method. The models are:
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+ 1. ResNet50 pretrained using SimCLR- https://huggingface.co/prakashchhipa/MPD_SSL/blob/main/SimCLR_resnet50_with_MPD.pth.tar
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+ 2. ViT-small pretrained using DINO- https://huggingface.co/prakashchhipa/MPD_SSL/blob/main/DINO_vit-small_with_MPD.pth
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  Both models were trained with a *batch size of 512* over *100 epochs*. The MPD method enhances the robustness of these models by simulating real-world perspective distortions, making them more robust in various computer vision tasks.
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