Object Localization
对象定位(Object Localization)是计算机视觉中的一个任务,旨在通过指定紧密裁剪的边界框来精确定位图像中某一特定类别对象的实例。一个对象提案指定了候选边界框,若该边界框与人类标注的真实边界框有足够重叠,则认为定位正确。对象定位专注于定位单个实例,而对象检测则侧重于识别图像中所有同类别的实例。对象定位在自动驾驶、安防监控和医疗影像分析等领域具有重要应用价值。
GRIT
IllusionVQA
GPT4-Vision 4-shot+CoT
KITTI Cars Easy
VoxelNet
KITTI Cars Hard
VoxelNet
KITTI Cars Moderate
Frustum PointNets
KITTI Cyclists Easy
Frustum PointNets
KITTI Cyclists Hard
KITTI Cyclists Moderate
Frustum PointNets
KITTI Pedestrian Easy
Frustrum-PointPillars
KITTI Pedestrians Easy
Frustum PointNets
KITTI Pedestrians Hard
KITTI Pedestrians Moderate
Frustrum-PointPillars
Mall
Hausdorff Loss
PASCAL VOC 2007
PASCAL VOC 2012
Plant
Pupil
REVERIE
Spiideo SoccerNet SynLoc