for this repository, just focus on issues for recording object detection related papers in computer vision
all the paper records are writen in issues. please click here :https://github.com/yankun-pku/paper_records/issues
this file just update directory for recorded papers, not ordered by time.
1.An Analysis of Scale Invariance in Object Detection – SNIP
2.Deformable Convolutional Networks
3.Deformable ConvNets v2 More Deformable, Better Results
4.Cascade R-CNN Delving into High Quality Object Detection
5.Scale-Aware Trident Networks for Object Detection
6.Path Aggregation Network for Instance Segmentation
7.Hybrid Task Cascade for Instance Segmentation
8.R-FCN: Object Detection via Region-based Fully Convolutional Networks
9.Light-Head R-CNN: In Defense of Two-Stage Object Detector
10.Region Proposal by Guided Anchoring
Note: 11-20 mainly focus on anchor-free methods
11.Feature Selective Anchor-Free Module for Single-Shot Object Detection
12.Segmentation Is All You Need
13.Bottom-up Object Detection by Grouping Extreme and Center Points
21.Libra R-CNN: Towards Balanced Learning for Object Detection