limber
发表于 2025-3-28 16:25:21
http://reply.papertrans.cn/24/2343/234234/234234_41.png
helper-T-cells
发表于 2025-3-28 21:50:29
Tensor Low-Rank Reconstruction for Semantic Segmentation,o be effective for context information collection. Since the desired context consists of spatial-wise and channel-wise attentions, 3D representation is an appropriate formulation. However, these non-local methods describe 3D context information based on a 2D similarity matrix, where space compressio
国家明智
发表于 2025-3-28 23:20:02
Attentive Normalization,e modules, however. In this paper, we propose a light-weight integration between the two schema and present Attentive Normalization (AN). Instead of learning a single affine transformation, AN learns a mixture of affine transformations and utilizes their weighted-sum as the final affine transformati
backdrop
发表于 2025-3-29 04:43:49
http://reply.papertrans.cn/24/2343/234234/234234_44.png
煤渣
发表于 2025-3-29 09:39:02
http://reply.papertrans.cn/24/2343/234234/234234_45.png
啤酒
发表于 2025-3-29 15:28:10
http://reply.papertrans.cn/24/2343/234234/234234_46.png
天文台
发表于 2025-3-29 17:06:15
Caption-Supervised Face Recognition: Training a State-of-the-Art Face Model Without Manual Annotatis built on top of millions of annotated samples. However, as we endeavor to take the performance to the next level, the reliance on annotated data becomes a major obstacle. We desire to explore an alternative approach, namely using captioned images for training, as an attempt to mitigate this diffic
傻瓜
发表于 2025-3-29 22:19:03
Unselfie: Translating Selfies to Neutral-Pose Portraits in the Wild,require specialized equipment or a third-party photographer. However, in selfies, constraints such as human arm length often make the body pose look unnatural. To address this issue, we introduce ., a novel photographic transformation that automatically translates a selfie into a neutral-pose portra
CAMEO
发表于 2025-3-30 00:59:39
https://doi.org/10.1007/978-3-319-93411-2Network security; Privacy; Anonymity; Cryptography; Security and privacy for big data; Security and priva