In defense of local descriptor-based few-shot object detection

In defense of local descriptor-based few-shot object detection

State-of-the-art image object detection computational models require an intensive parameter fine-tuning stage (using deep convolution network, etc). with tens or hundreds of training examples. In contrast, human intelligence can robustly learn a new concept from just a few instances (i.e., few-shot...

Full description

Bibliographic Details
Main Authors:	Shichao Zhou, Haoyan Li, Zhuowei Wang, Zekai Zhang
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2024-02-01
Series:	Frontiers in Neuroscience
Subjects:	few-shot learning local descriptors contextual features kernel method visual similarity
Online Access:	https://www.frontiersin.org/articles/10.3389/fnins.2024.1349204/full

Similar Items

Few-Shot Remote Sensing Image Scene Classification Based on Metric Learning and Local Descriptors
by: Zhengwu Yuan, et al.
Published: (2023-02-01)

Few-Shot Text Classification with Global–Local Feature Information
by: Depei Wang, et al.
Published: (2022-06-01)

MSFFAL: Few-Shot Object Detection via Multi-Scale Feature Fusion and Attentive Learning
by: Tianzhao Zhang, et al.
Published: (2023-03-01)

Few-Shot Object Detection with Local Feature Enhancement and Feature Interrelation
by: Hefeng Lai, et al.
Published: (2023-09-01)

Multi-Similarity Enhancement Network for Few-Shot Segmentation
by: Hao Chen, et al.
Published: (2023-01-01)

Comparative Analysis on Classical Meta-Metric Models for Few-Shot Learning
by: Sai Yang, et al.
Published: (2020-01-01)

Few-shot Object Detection Based on Feature Fusion
by: HUA Jie, LIU Xueliang, ZHAO Ye
Published: (2023-02-01)

FRDet: Few‐shot object detection via feature reconstruction
by: Zhihao Chen, et al.
Published: (2023-10-01)

Few-Shot Classification with Dual-Model Deep Feature Extraction and Similarity Measurement
by: Jing-Ming Guo, et al.
Published: (2022-10-01)

Multilevel Features-Guided Network for Few-Shot Segmentation
by: Chenjing Xin, et al.
Published: (2022-10-01)

Filtering Specialized Change in a Few-Shot Setting
by: Martin Hermann, et al.
Published: (2023-01-01)

Few-Shot Object Detection in Remote Sensing Image Interpretation: Opportunities and Challenges
by: Sixu Liu, et al.
Published: (2022-09-01)

Enhancing Few-Shot Image Classification With Cosine Transformer
by: Quang-Huy Nguyen, et al.
Published: (2023-01-01)

Few-Shot Image Classification Method with Feature Maps Enhancement Prototype
by: XU Huajie, LIANG Shuwei
Published: (2024-04-01)

A Contrastive Model with Local Factor Clustering for Semi-Supervised Few-Shot Learning
by: Hexiu Lin, et al.
Published: (2023-08-01)

Few-Shot Object Detection: Application to Medieval Musicological Studies
by: Bekkouch Imad Eddine Ibrahim, et al.
Published: (2022-01-01)

Integrative Few-Shot Classification and Segmentation for Landslide Detection
by: Dat Tran-Anh, et al.
Published: (2022-01-01)

VEHICLE DETECTION AND IDENTIFICATION WITH SMALL DATASET USING FEW-SHOT LEARNING
by: Muzakki Afandi, et al.
Published: (2023-12-01)

Effect of Probabilistic Similarity Measure on Metric-Based Few-Shot Classification
by: Youngjae Lee, et al.
Published: (2021-11-01)

NegCosIC: Negative Cosine Similarity-Invariance- Covariance Regularization for Few-Shot Learning
by: Wei Han Liu, et al.
Published: (2024-01-01)

CLIP-Driven Prototype Network for Few-Shot Semantic Segmentation
by: Shi-Cheng Guo, et al.
Published: (2023-09-01)

Accurate few-shot object counting with Hough matching feature enhancement
by: Zhiquan He, et al.
Published: (2023-03-01)

PCNet: Leveraging Prototype Complementarity to Improve Prototype Affinity for Few-Shot Segmentation
by: Jing-Yu Wang, et al.
Published: (2023-12-01)

Few-Shot Learning for Fault Diagnosis: Semi-Supervised Prototypical Network with Pseudo-Labels
by: Jun He, et al.
Published: (2022-07-01)

Progressive Network Grafting With Local Features Embedding for Few-Shot Knowledge Distillation
by: Weidong Du
Published: (2022-01-01)

Property prediction for high-chromium high-vanadium steel based on transfer component analysis with few-shot guided
by: Yuan Liu, et al.
Published: (2023-05-01)

Corrigendum: Accurate few-shot object counting with Hough matching feature enhancement
by: Zhiquan He, et al.
Published: (2023-06-01)

Fairness-aware genetic-algorithm-based few-shot classification
by: Depei Wang, et al.
Published: (2023-01-01)

Active Instance Selection for Few-Shot Classification
by: Junsup Shin, et al.
Published: (2022-01-01)

A New Instrument Monitoring Method Based on Few-Shot Learning
by: Beini Zhang, et al.
Published: (2023-04-01)

Incrementally Learned Angular Representations for Few-Shot Class-Incremental Learning
by: In-Ug Yoon, et al.
Published: (2023-01-01)

Adaptive Attentional Network for Few-Shot Relational Learning of Knowledge Graphs
by: Ruixin Ma, et al.
Published: (2022-04-01)

MCW: A Generalizable Deepfake Detection Method for Few-Shot Learning
by: Lei Guan, et al.
Published: (2023-10-01)

PFMNet: Few-Shot Segmentation with Query Feature Enhancement and Multi-Scale Feature Matching
by: Jingyao Li, et al.
Published: (2021-09-01)

Few-Shot Object Detection via Sample Processing
by: Honghui Xu, et al.
Published: (2021-01-01)

Multiscale Local Feature Fusion: Marine Microalgae Classification for Few-Shot Learning
by: Dan Liu, et al.
Published: (2023-04-01)

HCPNet: Learning discriminative prototypes for few-shot remote sensing image scene classification
by: Junjie Zhu, et al.
Published: (2023-09-01)

Few-Shot Air Object Detection Network
by: Wei Cai, et al.
Published: (2023-10-01)

Few-Shot SAR Target Recognition Based on Deep Kernel Learning
by: Ke Wang, et al.
Published: (2022-01-01)

Survey on Few-Shot Knowledge Graph Completion Technology
by: PENG Yanfei, ZHANG Ruisi, WANG Ruihua, GUO Jialong
Published: (2023-06-01)