Abstract: In autonomous driving, achieving rapid detection of target categories and locations is a key technology. However, the data volume of radar point clouds is enormous, and processing efficiency ...
Abstract: Few-shot domain-adaptive object detection (FSDAOD) aims to transfer knowledge from a source domain to a target domain with limited labeled data, which faces severe challenges in the field of ...
This repository contains the official PyTorch implementation of the paper "Demystifying Catastrophic Forgetting in Two-Stage Incremental Object Detector", accepted at the Forty-first International ...
RDD2020 dataset comprising 26,336 road images from India, Japan, and the Czech Republic with more than 31,000 instances of road damage. Here we consider a subset of the dataset, i.e. the images from ...
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