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cs.CV2023
Amodal Intra-class Instance Segmentation: Synthetic Datasets and Benchmark
Jiayang Ao, Qiuhong Ke, Krista A. Ehinger
Images of realistic scenes often contain intra-class objects that are heavily occluded from each other, making the amodal perception task that requires parsing the occluded parts o…
cs.CV2020★ 1 cited
Invertible Concept-based Explanations for CNN Models with Non-negative Concept Activation Vectors
Ruihan Zhang, Prashan Madumal, Tim Miller +2
Convolutional neural network (CNN) models for computer vision are powerful but lack explainability in their most basic form. This deficiency remains a key challenge when applying C…