剧本 发表于 2025-3-23 13:10:55
http://reply.papertrans.cn/47/4693/469281/469281_11.png同义联想法 发表于 2025-3-23 16:00:23
Robust Object Tracking Based on Multi-granularity Sparse Representation,with different sizes. At last, in order to reduce tracking model’s drift phenomenon due to model update, an adaptive update mechanism is designed by combining occlusion ratio and incremental HOG feature. Both qualitative and quantitative evaluations have been conducted on OTB-2013 datasets to demonsspinal-stenosis 发表于 2025-3-23 18:11:56
Real-Time Visual Object Tracking Based on Reinforcement Learning with Twin Delayed Deep Deterministodel by using two Critic networks to jointly predict the bounding box confidence, and to obtain the smaller predicted value as the label to update the network parameters, thereby rendering the Critic network to avoid excessive estimation bias, accelerate the convergence of the loss function, and obt潜移默化 发表于 2025-3-23 23:07:53
Efficiently Handling Scale Variation for Pedestrian Detection, and only introduces very few additional parameters. We have conducted experiments on the CityPersons, Caltech and ETH datasets and achieved significant improvements to the baseline method, especially on the small scale subset. In particular, on the CityPersons and ETH datasets, our method surpassesFoolproof 发表于 2025-3-24 05:34:46
http://reply.papertrans.cn/47/4693/469281/469281_15.pngCAMP 发表于 2025-3-24 06:30:16
http://reply.papertrans.cn/47/4693/469281/469281_16.png莎草 发表于 2025-3-24 11:48:45
Soft Transferring and Progressive Learning for Human Action Recognition,to learn from the supervisors, which have been trained on large-scale datasets. We fine-tune supervision model and train our new model on UCF101 and HMDB51 datasets, experiment results demonstrate the feasibility of soft transferring method, extend transfer learning to a broader sense, and show theMOAN 发表于 2025-3-24 16:17:33
http://reply.papertrans.cn/47/4693/469281/469281_18.png断断续续 发表于 2025-3-24 22:45:51
http://reply.papertrans.cn/47/4693/469281/469281_19.png熔岩 发表于 2025-3-24 23:25:11
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