http://www.tongtianta.site/group?group_id=1
https://blog.csdn.net/u014380165/article/details/80784147
《An Analysis of Scale Invariance in Object Detection - SNIP》
arXiv:https://arxiv.org/abs/1711.08189
github:http://bit.ly/2yXVg4c
论文解读:https://blog.csdn.net/u014380165/article/details/80793334
《Cascade R-CNN: Delving into High Quality Object Detection》
arXiv:https://arxiv.org/abs/1712.00726s
github:https://github.com/zhaoweicai/cascade-rcnn
论文解读:https://blog.csdn.net/u014380165/article/details/80602027
《Single-Shot Refinement Neural Network for Object Detection》
arXiv:https://arxiv.org/abs/1712.00433
github:https://github.com/sfzhang15/RefineDet
论文解读:https://blog.csdn.net/u014380165/article/details/79502308
《W2F: A Weakly-Supervised to Fully-Supervised Framework for Object Detection》
《Single-Shot Object Detection with Enriched Semantics》
arXiv:https://arxiv.org/abs/1712.00433
论文解读:https://blog.csdn.net/u014380165/article/details/80602240
《Min-Entropy Latent Model for Weakly Supervised Object Detection》
《Optimizing Video Object Detection via a Scale-Time Lattice》
《Pseudo-Mask Augmented Object Detection》
《Dynamic Zoom-in Network for Fast Object Detection in Large Images》
《Cross-Domain Weakly-Supervised Object Detection through Progressive Domain Adaptation》
《Domain Adaptive Faster R-CNN for Object Detection in the Wild》
《Scale-Transferrable Object Detection》
paper:http://openaccess.thecvf.com/content_cvpr_2018/CameraReady/1376.pdf
论文解读:https://blog.csdn.net/u014380165/article/details/80602130
《Deep Reinforcement Learning of Region Proposal Networks for Object Detection》
《Multi-scale Location-aware Kernel Representation for Object Detection》
《Structure Inference Net: Object Detection Using Scene-Level Context and Instance-Level Relationships》
《Feature Selective Networks for Object Detection》
《Relation Networks for Object Detection》
arXiv:https://arxiv.org/abs/1711.11575
github:https://github.com/msracver/Relation-Networks-for-Object-Detection
《Mobile Video Object Detection with Temporally-Aware Feature Maps》
《DOTA: A Large-scale Dataset for Object Detection in Aerial Images》
《Towards Human-Machine Cooperation: Evolving Active Learning with Self-supervised Process for Object Detection》
《R-FCN-3000 at 30fps: Decoupling Detection and Classification》
arXiv:https://arxiv.org/abs/1712.01802
论文解读:https://blog.csdn.net/u014380165/article/details/78809002
《Zigzag Learning for Weakly Supervised Object Detection》
arXiv:https://arxiv.org/abs/1804.09466