A C++ library for interacting with JSON.

Dynamic Relavance Learning for Few Shot Object Detection

Implement code of paper "ElDet: Anchor-free General Ellipse Object Detector"

This is the implementation in C++ of the paper: 'A fast and effective ellipse detector for embedded vision applications'

Ellipse and Segment Line Detector

Robust Ellipse Detection With Gaussian Mixture Models

A high-quality ellipse detector based on arc-support line segments which can both accurately and efficiently detect ellipses in images.

The Curious Layperson: Fine-Grained Image Recognition without Expert Labels (BMVC 2021 best student paper)

SpecDETR: A Transformer-based Hyperspectral Point Object Detection Network

Official repository for Dino U-Net: Exploiting High-Fidelity Dense Features from Foundation Models for Medical Image Segmentation. (DINOv3)

A method for Fine-Grained image classification

Explores jigsaw puzzles solvinig as pre-text task for fine grained classification for bird species identification (Implemented with pyTorch)

Reference PyTorch implementation and models for DINOv3

Implementation of Prototypical Networks for Few Shot Learning (https://arxiv.org/abs/1703.05175) in Pytorch

Official source code for MVREC: A General Few-shot Defect Classification Model Using Multi-View Region-Context.(AAAI 2025)

Official Repository for VELM, featured in CVPRW 2025 paper: "Detect, Classify, Act: Categorizing Industrial Anomalies with Multi-Modal LLMs"

Code for the NeurIPS 2017 Paper "Prototypical Networks for Few-shot Learning"

Ready-to-use code and tutorial notebooks to boost your way into few-shot learning for image classification.

Code for "Matching feature sets for few-shot image classification"-CVPR'2022.

CVPR 2025 论文和开源项目合集