Web1 de jan. de 2024 · Object detection and instance segmentation. Two-stage architecture is one of the most popular architectures in object detection and instance segmentation … WebInstance segmentation has witnessed a remarkable progress on class-balanced benchmarks. However, they fail to perform as accurately in real-world scenarios, where the category distribution of objects naturally comes with a long tail. Instances of head classes dominate a long-tailed dataset and they serve as negative samples of tail categories.

Long-tailed Instance Segmentation using Gumbel Optimized Loss

Web22 de jul. de 2024 · To address this, we develop a Gumbel Optimized Loss (GOL), for long-tailed detection and segmentation. It aligns with the Gumbel distribution of rare classes in imbalanced datasets, considering the fact that most classes in long-tailed detection have low expected probability. The proposed GOL significantly outperforms the best state-of … WebBalancing Logit Variation for Long-tailed Semantic Segmentation ... ISBNet: a 3D Point Cloud Instance Segmentation Network with Instance-aware Sampling and Box-aware Dynamic Convolution Tuan Ngo · Binh-Son Hua · Khoi Nguyen itKD: Interchange Transfer-based Knowledge Distillation for 3D Object Detection crossword solver supernatural being

The Devil Is in Classification: A Simple Framework for Long-Tail ...

WebInstance segmentation has witnessed a remarkable progress on class-balanced benchmarks. However, they fail to perform as accurately in real-world scenarios, where … Web18 de mai. de 2024 · Long-tailed class distributions are prevalent among the practical applications of object detection and instance segmentation. Prior work in long-tail … builders vacuum cleaner