Semantic Image Segmentation - Groups

LiteSeg: A Novel Lightweight ConvNet for Semantic Segmentation

Semantic image segmentation plays a pivotal role in many vision applications including autonomous driving and medical image analysis.

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PASCAL Context

The PASCAL Context dataset is a benchmark for multi-task learning in computer vision. It contains 10103 images with 5 tasks: semantic segmentation, human body part segmentation,...

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ImageNet classiﬁcation dataset

The dataset used for image classiﬁcation and semantic image segmentation.

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3 datasets found

LiteSeg: A Novel Lightweight ConvNet for Semantic Segmentation

PASCAL Context

ImageNet classiﬁcation dataset