FCOS: Fully Convolutional One-Stage Object Detection (ICCV'19)
Codes for our paper "CenterNet: Keypoint Triplets for Object Detection" .
FreeAnchor: Learning to Match Anchors for Visual Object Detection (NeurIPS 2019)
Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection, NeurIPS2020
Some improvements (center sample) about FCOS (FCOS: Fully Convolutional One-Stage Object Detection).
#计算机科学#PyTorch implementation of several SSD based object detection algorithms.
NAS-FCOS: Fast Neural Architecture Search for Object Detection (CVPR 2020)
Conditional Convolutions for Instance Segmentation, achives 37.1mAP on coco val
[CVPR 2021] Official PyTorch Code of GrooMeD-NMS: Grouped Mathematically Differentiable NMS for Monocular 3D Object Detection
Pytorch implementation of DSSD (Deconvolutional Single Shot Detector)
PDNet: Toward Better One-Stage Object Detection With Prediction Decoupling, TIP 2022
[TII 2024] An official implementation of ''A Novel Underwater Detection Method for Ambiguous Object Finding via Distraction Mining''
#计算机科学# ✅make your EfficientDet datasets.|制作你的EfficientDet可以训练的数据集
single stage object detection, yolo, yolov2, ssd, etc.