hli2020 / feature_intertwiner
Codebase of the paper "Feature Intertwiner for Object Detection", ICLR 2019
☆107Updated 5 years ago
Related projects ⓘ
Alternatives and complementary repositories for feature_intertwiner
- Code for calculating the upper bound AP in object detection☆81Updated 4 years ago
- Light-Head R-CNN in PyTorch☆93Updated 5 years ago
- Pytorch implementation of Repulsion Loss on RetinaNet☆95Updated 6 years ago
- Codes for paper: "IoU-Uniform R-CNN: Breaking Through the Limitations of RPN"☆51Updated 4 years ago
- Enriched Feature Guided Refinement Network for Detection,ICCV2019.☆98Updated 4 years ago
- I combine trident net and refinedet to detect objects of different scales at the same time in one forward propagation☆91Updated 5 years ago
- Code for NeurIPS 2019 paper: "Cascade RPN: Delving into High-Quality Region Proposal Network with Adaptive Convolution"☆180Updated 4 years ago
- High-resolution Networks for the Fully Convolutional One-Stage Object Detection (FCOS) algorithm☆125Updated 5 years ago
- EmbedMask: Embedding Coupling for One-stage Instance Segmentation☆160Updated 3 years ago
- Base jwyang/fpn.pytorch, train FPN on Pascal VOC get 80.5 mAP☆103Updated 6 years ago
- list the paper for recently anchor free detector☆232Updated 4 years ago
- CenterNet / FCOS_PLUS/MatrixNets implemented by mmdetection☆70Updated 5 years ago
- ☆123Updated 5 years ago
- PyTorch Implementation for DR Loss☆110Updated 11 months ago
- A Pytorch Implementation of R-FCN/CoupleNet☆64Updated 5 years ago
- Context-driven data augmentation for Object Detection (ECCV'18)☆117Updated 6 years ago
- The code and models for paper: "ScratchDet: Exploring to Train Single-Shot Object Detectors from Scratch"☆229Updated 5 years ago
- Dynamic R-CNN: Towards High Quality Object Detection via Dynamic Training, ECCV 2020☆173Updated 3 years ago
- reproduced the proposed results of SSD300 and SSD512☆111Updated 5 years ago
- Repulsion Loss: Detecting Pedestrians in a Crowd. https://arxiv.org/abs/1711.07752☆235Updated 6 years ago
- Unofficially Pytorch implementation of High-level Semantic Feature Detection: A New Perspective for Pedestrian Detection☆115Updated 5 years ago
- support different SSDs and different scale test, support refineDet.☆148Updated 5 years ago
- Object detection with multi-level representations generated from deep high-resolution representation learning (HRNetV2h).☆138Updated 3 years ago
- Comprehensive Feature Enhancement Module for Single-Shot Object Detector☆198Updated 5 years ago
- ☆33Updated 5 years ago
- A Dual Refinement Mechanism for Real-World Visual Detection☆28Updated 4 years ago
- Code for training 'CoupleNet: Coupling Global Structure with Local Parts for Object Detection' in ICCV 2017☆61Updated 7 years ago
- Revisiting RCNN: On Awakening the Classification Power of Faster RCNN (ECCV 2018)☆167Updated 4 years ago