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Segment Anything Model is a Good Teacher for Local Feature Learning

IEEE Transactions on Image Processing (IEEE TIP), 2023

29 September 2023

ArXiv (abs)PDF HTML Github (115★)

Papers citing "Segment Anything Model is a Good Teacher for Local Feature Learning"

10 / 10 papers shown

Semantic-E2VID: a Semantic-Enriched Paradigm for Event-to-Video Reconstruction

245

20 Oct 2025

DistillMatch: Leveraging Knowledge Distillation from Vision Foundation Model for Multimodal Image Matching

104

19 Sep 2025

Focus on Local: Finding Reliable Discriminative Regions for Visual Place RecognitionAAAI Conference on Artificial Intelligence (AAAI), 2025

...

279

14 Apr 2025

Vision Foundation Models in Medical Image Analysis: Advances and Challenges

344

24 Feb 2025

MatchAnything: Universal Cross-Modality Image Matching with Large-Scale Pre-Training

289

13 Jan 2025

ALPS: An Auto-Labeling and Pre-training Scheme for Remote Sensing Segmentation With Segment Anything Model

342

16 Jun 2024

$M${^2}$Depth: Self-supervised Two-Frame Multi-camera Metric Depth Estimation$

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Depth: Self-supervised Two-Frame Multi-camera Metric Depth EstimationEuropean Conference on Computer Vision (ECCV), 2024

Yingshuang Zou

247

03 May 2024

Local Feature Matching Using Deep Learning: A Survey

349

31 Jan 2024

Where to Begin? From Random to Foundation Model Instructed Initialization in Federated Learning for Medical Image SegmentationIEEE International Symposium on Biomedical Imaging (ISBI), 2023

Ming Li

Guang Yang

FedML

214

27 Nov 2023

A Survey on Segment Anything Model (SAM): Vision Foundation Model Meets Prompt Engineering

Chaoning Zhang

Fachrina Dewi Puspitasari

Sheng Zheng

Chenghao Li

Yu Qiao

...

Lik-Hang Lee

317

12 May 2023