难理解
发表于 2025-3-25 05:32:32
Yingxin Li,Fukang Liu,Gaoli WangILSS. We show highly competitive object categorization results on the Caltech dataset. To evaluate the performance of our algorithm further, we introduce the challenging Landmarks-18 dataset, a collection of photographs of famous landmarks from around the world. The results on this new dataset show the great potential of our proposed algorithm.
凝结剂
发表于 2025-3-25 11:31:22
http://reply.papertrans.cn/24/2342/234146/234146_22.png
芭蕾舞女演员
发表于 2025-3-25 13:29:07
http://reply.papertrans.cn/24/2342/234146/234146_23.png
通知
发表于 2025-3-25 17:57:02
http://reply.papertrans.cn/24/2342/234146/234146_24.png
正式演说
发表于 2025-3-25 23:30:33
Keypoint Signatures for Fast Learning and Recognition fact that if we train a Randomized Tree classifier to recognize a number of keypoints extracted from an image database, all other keypoints can be characterized in terms of their response to these classification trees. This signature is fast to compute and has a discriminative power that is comparable to that of the much slower SIFT descriptor.
解决
发表于 2025-3-26 00:27:05
http://reply.papertrans.cn/24/2342/234146/234146_26.png
accrete
发表于 2025-3-26 08:16:03
Scale Invariant Action Recognition Using Compound Features Mined from Dense Spatio-temporal Cornersuperior performance to other state-of-the-art approaches (including those based upon sparse feature detectors). Furthermore, the approach requires only weak supervision in the form of class labels for each training sequence. No ground truth position or temporal alignment is required during training.
LUDE
发表于 2025-3-26 10:09:37
Semi-supervised On-Line Boosting for Robust Tracking given prior and an on-line classifier. This comes without any parameter tuning. In the experiments, we demonstrate real-time tracking of our SemiBoost tracker on several challenging test sequences where our tracker outperforms other on-line tracking methods.
indemnify
发表于 2025-3-26 14:53:21
http://reply.papertrans.cn/24/2342/234146/234146_29.png
CLASH
发表于 2025-3-26 20:46:10
http://reply.papertrans.cn/24/2342/234146/234146_30.png