Advancing Image Understanding in Poor Visibility Environments: A Collective Benchmark Study.
Wenhan YangYe YuanWenqi RenJiaying LiuWalter J. ScheirerZhangyang WangTaiheng ZhangQiaoyong ZhongDi XieShiliang PuYuqiang ZhengYanyun QuYuhong XieLiang ChenZhonghao LiChen HongHao JiangSiyuan YangYan LiuXiaochao QuPengfei WanShuai ZhengMinhui ZhongTaiyi SuLingzhi HeYandong GuoYao ZhaoZhenfeng ZhuJinxiu LiangJingwen WangTianyi ChenYuhui QuanYong XuBo LiuXin LiuQi SunTingyu LinXiaochuan LiFeng LuLin GuShengdi ZhouCong CaoShifeng ZhangCheng ChiChubin ZhuangZhen LeiStan Z. LiShizheng WangRuizhe LiuDong YiZheming ZuoJianning ChiHuan WangKai WangYixiu LiuXingyu GaoZhenyu ChenChang GuoYongzhou LiHuicai ZhongJing HuangHeng GuoJianfei YangWenjuan LiaoJiangang YangLiguo ZhouMingyue FengLikun QinPublished in: IEEE Trans. Image Process. (2020)
Keyphrases
- image understanding
- computer vision
- object recognition
- real world
- information retrieval
- image analysis
- computational vision
- image description
- empirical studies
- control structure
- image interpretation
- image analysis and computer vision
- data sets
- image processing and analysis
- image enhancement
- object detection
- artificial neural networks
- pattern recognition
- multiscale