To detect a stealth target, one may directly probe it with a single photon and analyze the reflected signals. The efficiency of such conventional detection scheme can potentially be enhanced by quantum illumination, where entanglement is exploited to break the classical limits. The question is what...
To detect a stealth target, one may directly probe it with a single photon and analyze the reflected signals. The efficiency of such conventional detection scheme can potentially be enhanced by quantum illumination, where entanglement is exploited to break the classical limits. The question is what ...
We present an approach to detect carried objects from a single video frame with a novel method that incorporates features from multiple scales. Initially, a foreground mask in a video frame is segmented into multi-scale superpixels. Then the human-like regions in the segmented area are identified...
Given a query patch from a novel class, one-shot object detection aims to detect all instances of this class in a target image through the semantic similarity comparison. However, due to the extremely limited guidance in the novel class as well as the un
To relieve such a burden for a landmark detection task, we explore the feasibility of using only a single annotated image and propose a novel framework named Cascade Comparing to Detect (CC2D) for one-shot landmark detection. CC2D consists of two stages: 1) Self-supervised learning (CC2D-...
To this end, we devise a One-Shot Affordance Detection (OS-AD) network that firstly estimates the purpose and then transfers it to help detect the common affordance from all candidate images. Through collaboration learning, OS-AD can capture the common characteristics be...
Zero-shotLearning /One-shotLearning / Few-shotLearning。 爱上一匹野马 (泛化能力),可我的家里没有草原 (海量数据) 。 Learning类型 分为... Learning,零次学习。 成品模型 对于 训练集 中 没有出现过的类别,能自动创造出相应的映射: XX。 既要马儿跑,还 不让 马儿吃草。One-shotLearningOne-shot ...
[8] Feichtenhofer, C., Pinz, A., & Zisserman, A. (2017). Detect to track and track to detect. InProceedings of the IEEE International Conference on Computer Vision(pp. 3038-3046). [9] Bergmann, P., Meinhardt, T., & Leal-Taixe, L. (2019). Tracking without bells and whistles....
To this end, we devise a One-Shot Affordance Detection (OS-AD) network that firstly estimates the purpose and then transfers it to help detect the common affordance from all candidate images. Through collaboration learning, OS-AD can capture the common characteristics between objects having the ...
To relieve such a burden for a landmark detection task, we explore the feasibility of using only a single annotated image and propose a novel framework named Cascade Comparing to Detect (CC2D) for one-shot landmark detection. CC2D consists of two stages: 1) Self-supervised learning (CC2D-...