In this paper we investigate sentiment polarity classification based on adaptive statistical data compression models. We evaluate the classification performance of the loss less compression algorithm Prediction
Deep learning based object detection for resource constrained devices: Systematic review, future trends and challenges ahead 7.1Model compression A large network model is generally required to achieve satisfactory detection accuracy. Large network models, on the other hand, frequently include redundant infor...
Transformer-layer Distillation attention based distillation attention 的权重可以获取很多的语言学的知识,所以不能够忽视这些信息。文章中定义每一层的attention loss : 这边的 表示的是attention heads的个数。 hidden states based distillation 除了mimi...
andpoint-basedmodels.Asurfaceencodertransformsan explicitsurfacerepresentationofoneoftheabovetypesinto acompactbitstreamwhichcanbedecodedatthereceiverin ordertogenerateasurfacereconstruction.Thereconstruc- tioncanbelosslessorlossy. 1.1.Relatedwork Common3Dgraphicssystemsarebasedonpolygonmeshes. ...
The Moving Picture Experts Group (MPEG) video-based point cloud compression (V-PCC) standard encodes a dynamic point cloud by first converting it into one geometry video and one color video and then using a video coder to compress the two video sequences. We first propose analytical models ...
Next, the effect of confining pressure on the mechanical properties of layered shale is also discussed based on the numerical results. These findings highlight the potential of this approach for applications in micro-scaled models and calibration of microscopic parameters to probe mechanical behaviors ...
On a more mathematical point of view, it has been shown in Cohen, Dahmen, Daubechies and DeVore [2001] that for various function classes taken as models for the signal, such algorithms lead to optimal asymptotic behaviour of the L2-error with respect to the number of bits. As an example ...
The exponential growth of various complex images is putting tremendous pressure on storage systems. Here, we propose a memristor-based storage system with an integrated near-storage in-memory computing-based convolutional autoencoder compression network
而 Anchor-free 无锚范式因其泛化能力强,解码逻辑更简单,在近几年中应用比较广泛。经过对 Anchor-free 的实验调研,我们发现,相较于Anchor-based 检测器的复杂度而带来的额外延时,Anchor-free 检测器在速度上有51%的提升。有两种类型的anchor-free检测器:point-based(YOLOX,FCOS)和keypoing-based(CenterNet)。在...
Guaranteed Conditional Diffusion: 3D Block-based Models for Scientific Data Compression no code yet • 18 Feb 2025 The framework is based on recent conditional diffusion (CD) generative models, and it consists of a conditional diffusion model, tensor correction, and error guarantee. Paper Add ...