ztf-ucas / NIST-FSDLinks
NIST-FSD: a benchmark for few-shot object detection.
☆15Updated 6 years ago
Alternatives and similar repositories for NIST-FSD
Users that are interested in NIST-FSD are comparing it to the libraries listed below
Sorting:
- Few-shot detection for visual categories☆113Updated 2 years ago
- ☆245Updated 5 years ago
- Currently: Magnet Loss and RepMet in pytorch .. Later: Stay Tuned☆16Updated 2 years ago
- ☆388Updated 5 years ago
- An unofficial implementation of 'Domain Adaptive Faster R-CNN for Object Detection in the Wild ’☆138Updated 4 years ago
- Implementation of "Strong-Weak Distribution Alignment for Adaptive Object Detection"☆358Updated 6 years ago
- Meta R-CNN : Towards General Solver for Instance-level Low-shot Learning☆202Updated 5 years ago
- An implementation of our CVPR 2018 work 'Domain Adaptive Faster R-CNN for Object Detection in the Wild'☆347Updated 5 years ago
- Multi-scale Positive Sample Refinement for Few-shot Object Detection, ECCV2020☆140Updated 5 years ago
- The official PyTorch implementation of paper Exploring Categorical Regularization for Domain Adaptive Object Detection (CR-DA-DET)☆118Updated 5 years ago
- Domain Adaptive Faster R-CNN in PyTorch☆51Updated 5 years ago
- Progressive Domain Adaptation for Object Detection☆107Updated 2 years ago
- Implementation of Cross-domain Detection via Graph-induced Prototype Alignment (CVPR 2020 Oral).☆143Updated 4 years ago
- Domain Adaptive Faster R-CNN in Detectron☆50Updated 4 years ago
- Implementation of "Harmonizing Transferability and Discriminability for Adapting Object Detectors" (CVPR 2020)☆115Updated 5 years ago
- An object detection architecture combines the advantage of SSD and Faster-RCNN.☆72Updated 6 years ago
- Context-Transformer: Tackling Object Confusion for Few-Shot Detection, AAAI 2020☆106Updated 4 years ago
- Cross-Domain Weakly-Supervised Object Detection through Progressive Domain Adaptation [Inoue+, CVPR2018].☆433Updated last year
- Few-Shot Learning with Global Class Representations☆74Updated 3 years ago
- Code for our CVPR19 -- "Adapting Object Detectors via Selective Cross-Domain Alignment"☆85Updated 6 years ago
- ☆31Updated 5 years ago
- Implementation of "SCL: Towards Accurate Domain Adaptive Object Detection via Gradient Detach Based Stacked Complementary Losses"☆90Updated 4 years ago
- Pytorch code of "Revisiting Local Descriptor based Image-to-Class Measure for Few-shot Learning", CVPR 2019.☆200Updated 2 years ago
- Implementation for paper "Few-Shot Learning with Global Class Representations" (https://arxiv.org/abs/1908.05257)☆18Updated 2 years ago
- Few-shot Object Detection via Feature Reweighting☆558Updated 3 years ago
- Domain Adaptive Faster R-CNN in PyTorch☆327Updated 3 years ago
- PyTorch codes for our papers "Multiple Instance Detection Network with Online Instance Classifier Refinement" and "PCL: Proposal Cluster …☆248Updated 4 years ago
- The pytorch implementation of the Min-Entropy Latent Model for Weakly Supervised Object Detection☆102Updated 4 years ago
- ☆28Updated 4 years ago
- Diversify and Match: A Domain Adaptive Representation Learning Paradigm for Object Detection☆46Updated 5 years ago