{"ID":395954,"CreatedAt":"2026-03-04T20:58:37Z","UpdatedAt":"2026-03-04T20:58:37Z","DeletedAt":null,"paper_url":"https://paperswithcode.com/paper/a-comparative-review-of-recent-few-shot","arxiv_id":"2111.00201","title":"A Comparative Review of Recent Few-Shot Object Detection Algorithms","abstract":"Few-shot object detection, learning to adapt to the novel classes with a few labeled data, is an imperative and long-lasting problem due to the inherent long-tail distribution of real-world data and the urgent demands to cut costs of data collection and annotation. Recently, some studies have explored how to use implicit cues in extra datasets without target-domain supervision to help few-shot detectors refine robust task notions. This survey provides a comprehensive overview from current classic and latest achievements for few-shot object detection to future research expectations from manifold perspectives. In particular, we first propose a data-based taxonomy of the training data and the form of corresponding supervision which are accessed during the training stage. Following this taxonomy, we present a significant review of the formal definition, main challenges, benchmark datasets, evaluation metrics, and learning strategies. In addition, we present a detailed investigation of how to interplay the object detection methods to develop this issue systematically. Finally, we conclude with the current status of few-shot object detection, along with potential research directions for this field.","short_abstract":"Few-shot object detection, learning to adapt to the novel classes with a few labeled data, is an imperative and long-lasting problem due to the inherent long-tail distribution of real-world data and the urgent demands to cut costs of data collection and annotation.","url_abs":"https://arxiv.org/abs/2111.00201v1","url_pdf":"https://arxiv.org/pdf/2111.00201v1.pdf","authors":"[\"Leng Jiaxu\", \"Chen Taiyue\", \"Gao Xinbo\", \"Yu Yongtao\", \"Wang Ye\", \"Gao Feng\", \"Wang Yue\"]","published":"2021-10-30T00:00:00Z","tasks":"[\"Few-Shot Object Detection\", \"Object\", \"object-detection\", \"Object Detection\"]","methods":"[]","has_code":false}