Official repo for our CVPR 22 paper: "Label, Verify, Correct: A Simple Few-Shot Object Detection Method" - prannaykaul/lvc
2020. Few-shot object detection with attention-RPN and multirelation detector. In Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR’20). 4012–4021. 2.3 标准化 文章提出目前最常用的用两种标准。 (1)VOC-07/12: 基于VOC07和VOC12数据集,在VOC07训练集...
few labeled training samples. To this end, the Few-Shot Object Detection (FSOD) has been topical recently, as it mimics the humans' ability of learning to learn, and intelligently transfers the learned generic object knowledge from the common heavy-tailed, to the novel long-tailed object ...
2.1 Advances in Few-Shot Learning 3 LIMITED-SUPERVISED FEW-SHOT OBJECT DETECTION 3.1 Meta-Learning Methods 3.1.1 Metric-based Methods Data Preprocessing Embedding Network RPN vs Meta-RPN Support-Only vs Support-Query Guidance Aggregator Scoring Function Loss Function Fusion Node Training/Testing Process...
Few-shot CL refers to the scenario where a model needs to learn new tasks with only a limited number of labeled examples per task while retaining knowledge from previously encountered tasks. Paper TitleYearConference/Journal Improving Open-world Continual Learning under the Constraints of Scarce Label...
Aiming at the problems faced by endangered species detection, such as low accuracy and easy loss of location information, an efficient endangered species detection method with fewer samples is proposed to extend the few-shot object detection technique to the field of endangered species dete...
Table 1: Detection accuracy comparisons in terms of mAP percentage on MS COCO test-dev set. Ablation study Since M2Det is composed of multiple subcomponents, we need to verify each of its effectiveness to the final performance. The baseline is a simple detector based on the original SSD, ...
ZeroshotLearning,零次学习。 模型 对于训练集中没有出现过的类别,能自动创造出相应的映射:X→Y。 Low/Few-shot Learning、One-shot Learning,少/一次学习。 训练集中,每个类别都有样本,但都只是少量样本(甚至只有一个)。 摘要: 提出了一个Low-Shot Transfer Detector (LSTD),利用丰富的源领域(Source Domain)知...
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning - EthicalML/awesome-production-machine-learning
"Bridge the Points: Graph-based Few-shot Segment Anything Semantically." NeurIPS (2024). [paper] [code] [2024.10] AvatarGO: Yukang Cao, Liang Pan, Kai Han, Kwan-Yee K. Wong, Ziwei Liu. "AvatarGO: Zero-shot 4D Human-Object Interaction Generation and Animation." ArXiv (2024). [paper]...