achlorhydria 发表于 2025-3-28 17:43:26
http://reply.papertrans.cn/24/2342/234173/234173_41.png大范围流行 发表于 2025-3-28 19:54:02
http://reply.papertrans.cn/24/2342/234173/234173_42.pngMIRTH 发表于 2025-3-29 02:00:37
Facilitating and Exploring Planar Homogeneous Texture for Indoor Scene Understandingropose to exploit such structure to facilitate high-level scene understanding. By robustly fitting a texture projection model to optimal dominant frequency estimates in image patches, we arrive at a projective-invariant method to localize such semantically meaningful regions in multi-planar scenes.翅膀拍动 发表于 2025-3-29 05:58:58
http://reply.papertrans.cn/24/2342/234173/234173_44.pngparadigm 发表于 2025-3-29 07:15:34
Modeling Context in Referring Expressionslanguage referring expressions for objects in images. In particular, we focus on incorporating better measures of visual context into referring expression models and find that visual comparison to other objects within an image helps improve performance significantly. We also develop methods to tie tBlazon 发表于 2025-3-29 11:52:51
Taxonomy-Regularized Semantic Deep Convolutional Neural Networksouped and discriminative information provided by the taxonomy, by focusing on the general and specific components that comprise each category, through the min- and difference-pooling operations. Without using any additional parameters or substantial increase in time complexity, our model is able to干涉 发表于 2025-3-29 17:21:15
http://reply.papertrans.cn/24/2342/234173/234173_47.png单调性 发表于 2025-3-29 20:22:30
Human Re-identification in Crowd Videos Using Personal, Social and Environmental Constraintse to large number of people and frequent occlusions, coupled with changes in their appearance due to different properties and exposure of cameras. To solve this problem, we model multiple Personal, Social and Environmental (PSE) constraints on human motion across cameras in crowded scenes. The perso钢笔记下惩罚 发表于 2025-3-30 00:47:02
http://reply.papertrans.cn/24/2342/234173/234173_49.pngminimal 发表于 2025-3-30 04:37:26
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