few-shot object detection(小样本目标检测)广泛应用于数据有限的条件下,之前很多团队的研究成果聚焦于小样本种类(categories)的表现,旷视研究团队认为在真实应用场景下,测试样本可能包含任何目标物体,因而检测所有类别(classes)至关重要,这需要小样本检测器能够在没有遗忘的条件下学习新的概念(目标)。旷视团队提出了Retent...
1.Semantic Relation Reasoningfor Shot-Stable Few-Shot Object Detection paper:https://openaccess.thecvf.com/content/CVPR2021/html/Li_Few-Shot_Object_Detection_via_Classification_Refinement_and_Distractor_Retreatment_CVPR_2021_paper.html code:None 1.1 Motivation 数据稀缺(data scarcity)是FSOD中的难点。检...
This report introduces an enhanced method for the Foundational Few-Shot Object Detection (FSOD) task, leveraging the vision-language model (VLM) for object detection. However, on specific datasets, VLM may encounter the problem where the detected targets are misaligned with the target concepts of ...
CVPR 2021 FSCE: Few-Shot Object Detection via Contrastive Proposal Encoding,程序员大本营,技术文章内容聚合第一站。
1★FEW-SHOT OBJECT DETECTION 定义:novel classes中每个class仅有少量training examples 1.1 FSOD Framework 2个class set不相交:base classes & novel classes 图4:FSRW中的设置 img tasks: Base training Few-shot finetuning:但也有一些conditioning-based methods不需要finetuning,而是在few-shotevaluation时把novel...
Dense Relation Distillation with Context-aware Aggregation for Few-Shot Object Detection, CVPR 2021 - hzhupku/DCNet
CVPR2020 论文分类下载 「人脸识别+目标检测」 Few-ShotObjectDetectionwithAttention-RPNandMulti-RelationDetector论文:arxiv.org/abs/1908.0199...近日,CVPR官方终于放出了所有的论文列表,并开放下载。 图灵君为大家整理并下载了【人脸检测/识别/重建】和【目标检测/分割/跟踪】的相关论文,关注本公众号,回复 “ ...
Semantic Enhanced Few-shot Object Detection no code yet • 19 Jun 2024 As a result, our method allows each novel class to construct a compact feature space without being confused with similar base classes. Paper Add Code The Solution for CVPR2024 Foundational Few-Shot Object Detection ...
Hallucination Improves Few-Shot Object Detection Weilin Zhang Yu-Xiong Wang University of Illinois at Urbana-Champaign {weilinz2, yxw}@illinois.edu Abstract Learning to detect novel objects from few annotated ex- amples is of great practical importance. A particularly challenging yet common regime ...
doi:10.1109/CVPR.2019.00534image classification,learning (artificial intelligence),object detectionDistance metric learning (DML) has been successfully applied to object classification, both in the standard regime of rich training data and in the few-shot scenario, where each category is represented by ...