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Exploring the Capacity of Sequential-free Box Discretization Network for Omnidirectional Scene Text
Paper https arxiv org abs 1912 09629v1 Code https tinyurl com sbdnet SBD首先将四边形边框离散为几个关键边缘 xff0c 其中包含所有可能的水平和垂直位置 为了解码准确的
Exploring
The
capacity
Sequential
free
旋转目标检测:Exploring Complementary Strengths of Ivariant and Equivariant Representations for FSL(CVPR21)
关键词 xff1a 小样本 xff0c 自监督 xff0c 变换不变性 xff0c 等变性 参考博客 xff1a https zhuanlan zhihu com p 354771341 论文原文下载 xff1a https arxiv o
Exploring
Complementary
Strengths
Ivariant
and
MonoSDF: Exploring Monocular Geometric Cues for Neural Implicit Surface Reconstruction论文翻译
机翻的 这篇属实看不懂 Abstract 近年来 xff0c 神经隐式表面重建方法已成为多视图三维重建的流行方法 与传统的多视图立体方法相比 xff0c 由于神经网络的归纳平滑偏差 xff0c 这些方法往往会产生更平滑和更完整的重建 最先进
MonoSDF
Exploring
Monocular
Geometric
Cues
(深度学习快速入门)Exploring Simple Siamese Representation Learning(SimSam)论文精读
文章目录 Abstract Introduction Related Work Method Emprical Study Stop gradient Predictor Batch Size Batch Normalization Sim
Exploring
simple
Siamese
Representation
Learning