极大痛苦 发表于 2025-3-23 13:14:33
An Introduction to Cooperativesxperimental results demonstrate that our method significantly outperform previous baseline SCRC (Spatial Context Recurrent ConvNet) [.] model on Referit dataset [.], moreover, our model is simple to train similar to Faster R-CNN.侵略主义 发表于 2025-3-23 17:54:36
http://reply.papertrans.cn/15/1491/149020/149020_12.pngNegotiate 发表于 2025-3-23 21:11:53
http://reply.papertrans.cn/15/1491/149020/149020_13.png特征 发表于 2025-3-24 01:43:29
http://reply.papertrans.cn/15/1491/149020/149020_14.png休息 发表于 2025-3-24 02:20:16
http://reply.papertrans.cn/15/1491/149020/149020_15.pngpodiatrist 发表于 2025-3-24 07:10:13
An Efficient Feature Selection for SAR Target Classificationnt features. Finally, for target classification, SVM is used as a baseline classifier. Experiments on MSTAR public release dataset are conducted, and the results demonstrate that the proposed method outperforms the state-of-the-art methods.cunning 发表于 2025-3-24 11:44:17
Automatic Foreground Seeds Discovery for Robust Video Saliency Detectionobal object appearance model using the initial seeds and remove unreliable seeds according to foreground likelihood. Finally, the seeds work as queries to rank all the superpixels in images to generate saliency maps. Experimental results on challenging public dataset demonstrate the advantage of our algorithm over state-of-the-art algorithms.FID 发表于 2025-3-24 18:34:49
http://reply.papertrans.cn/15/1491/149020/149020_18.pngintercede 发表于 2025-3-24 20:05:37
Object Discovery and Cosegmentation Based on Dense Correspondencessides, due to the powerful feature learning ability of deep models, we adopt VGG features to do unsupervised clustering and find representative candidates as a prior knowledge. Experiments on noisy datasets show the effectiveness of our method.服从 发表于 2025-3-24 23:38:08
Fusing Appearance Features and Correlation Features for Face Video Retrievalnd hash learning into a unified optimization framework to guarantee optimal compatibility of appearance features and correlation features. Experiments on two challenging TV-Series datasets demonstrate the effectiveness of the proposed method.