A Unified Interactive Model Evaluation for Classification, Object Detection, and Instance Segmentation in Computer Vision. (arXiv:2308.05168v1 [cs.CV])

Existing model evaluation tools mainly focus on evaluating classification
models, leaving a gap in evaluating more complex models, such as object
detection. In this paper, we develop an open-source visual analysis tool,
Uni-Evaluator, to support a unified model evaluation for classification, object
detection, and instance segmentation in computer vision. The key idea behind
our method is to formulate both discrete and continuous predictions in
different tasks as unified probability distributions. Based on these
distributions, we develop 1) a matrix-based visualization …

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