jshtok / RepMet
Few-shot detection for visual categories
☆111Updated 2 years ago
Alternatives and similar repositories for RepMet:
Users that are interested in RepMet are comparing it to the libraries listed below
- Meta R-CNN : Towards General Solver for Instance-level Low-shot Learning☆186Updated 4 years ago
- ☆244Updated 4 years ago
- Currently: Magnet Loss and RepMet in pytorch .. Later: Stay Tuned☆16Updated 2 years ago
- Multi-scale Positive Sample Refinement for Few-shot Object Detection, ECCV2020☆138Updated 4 years ago
- ☆384Updated 4 years ago
- Context-Transformer: Tackling Object Confusion for Few-Shot Detection, AAAI 2020☆105Updated 3 years ago
- Pytorch code of "Revisiting Local Descriptor based Image-to-Class Measure for Few-shot Learning", CVPR 2019.☆195Updated last year
- (ECCV 2020) PyTorch implementation of paper "Few-Shot Object Detection and Viewpoint Estimation for Objects in the Wild"☆216Updated 4 years ago
- Few-Shot Learning with Global Class Representations☆74Updated 2 years ago
- An object detection architecture combines the advantage of SSD and Faster-RCNN.☆72Updated 5 years ago
- An unofficial implementation of 'Domain Adaptive Faster R-CNN for Object Detection in the Wild ’☆136Updated 4 years ago
- Awesome Few-shot learning☆55Updated 5 years ago
- Domain Adaptive Faster R-CNN in PyTorch☆50Updated 5 years ago
- Multi-task Self-supervised Object Detection via Recycling of Bounding Box Annotations (CVPR, 2019)☆128Updated 4 years ago
- Implementation for paper "Few-Shot Learning with Global Class Representations" (https://arxiv.org/abs/1908.05257)☆18Updated 2 years ago
- Few shot learning☆155Updated 3 years ago
- This repository contains the code for Instance Credibility Inference (ICI).☆83Updated 3 years ago
- Implementation of Cross-domain Detection via Graph-induced Prototype Alignment (CVPR 2020 Oral).☆140Updated 3 years ago
- This repository provides training and evaluation code for paper titled "Polar Loss for Zero-Shot Object Detection." (Arxiv version) and "…☆120Updated 4 years ago
- Few-shot Object Detection via Feature Reweighting☆543Updated 3 years ago
- Implementation of "Harmonizing Transferability and Discriminability for Adapting Object Detectors" (CVPR 2020)☆113Updated 4 years ago
- Code for NeurIPS 2019 paper: "Cascade RPN: Delving into High-Quality Region Proposal Network with Adaptive Convolution"☆181Updated 5 years ago
- NIST-FSD: a benchmark for few-shot object detection.☆15Updated 5 years ago
- The pytorch implementation of the Min-Entropy Latent Model for Weakly Supervised Object Detection☆104Updated 4 years ago
- The official PyTorch implementation of paper Exploring Categorical Regularization for Domain Adaptive Object Detection (CR-DA-DET)☆116Updated 4 years ago
- Implementation of "Strong-Weak Distribution Alignment for Adaptive Object Detection"☆354Updated 5 years ago
- Code for 'Leveraging the Feature Distribution in Transfer-based Few-Shot Learning'☆212Updated last year
- Code of Cross Attention Network for Few-shot Classification (NeurIPS 2019).☆212Updated 4 years ago
- Code for Master research internship report : https://arxiv.org/abs/1909.13579☆104Updated 2 years ago
- An implementation of our CVPR 2018 work 'Domain Adaptive Faster R-CNN for Object Detection in the Wild'☆339Updated 5 years ago