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On Evaluating Metrics For Video Segmentation Algorithms

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On Evaluating Metrics For Video Segmentation Algorithms

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Fast and Future: Towards Efficient Forecasting in Video Semantic Segmentation

CLIP the Gap: A Single Domain Generalization Approach for Object Detection

Revisiting Evaluation Metrics for Semantic Segmentation: Optimization and Evaluation of Fine-grained Intersection over Union

Detecting Anomalies and Obstacles in Road Scenes

Geometry in active learning for binary and multi-class image segmentation

Learning to Reduce Annotation Load

Scale-Adaptive Superpixels

Large-Scale Image Segmentation with Convolutional Networks

Large-Scale Image Segmentation with Convolutional Networks

Fast and Robust Segmentation of the Striatum Using Deep Convolutional Neural Networks

CLIP the Gap: A Single Domain Generalization Approach for Object Detection

Fast and Future: Towards Efficient Forecasting in Video Semantic Segmentation

Fast and Robust Segmentation of the Striatum Using Deep Convolutional Neural Networks

Learning to Reduce Annotation Load

Revisiting Evaluation Metrics for Semantic Segmentation: Optimization and Evaluation of Fine-grained Intersection over Union

Detecting Anomalies and Obstacles in Road Scenes

Geometry in active learning for binary and multi-class image segmentation

Scale-Adaptive Superpixels

Large-Scale Image Segmentation with Convolutional Networks

Large-Scale Image Segmentation with Convolutional Networks