Search Results for author:
Found 9 papers, 3 papers with code
Adaptive Pixel-wise Structured Sparse Network for Efficient CNNs
To accelerate deep CNN models, this paper proposes a novel spatially adaptive framework that can dynamically generate pixel-wise sparsity according to the input image.
Layer Pruning via Fusible Residual Convolutional Block for Deep Neural Networks
For layer pruning, we convert convolutional layers of network into ResConv with a layer scaling factor.
An Once-for-All Budgeted Pruning Framework for ConvNets Considering Input Resolution
We propose an efficient once-for-all budgeted pruning framework (OFARPruning) to find many compact network structures close to winner tickets in the early training stage considering the effect of input resolution during the pruning process.
AdaPruner: Adaptive Channel Pruning and Effective Weights Inheritance
While previous pruning methods have mostly focused on identifying unimportant channels, channel pruning is considered as a special case of neural architecture search in recent years.
Masked Contrastive Pre-Training for Efficient Video-Text Retrieval
Our MAC aims to reduce video representation's spatial and temporal redundancy in the VidLP model by a mask sampling mechanism to improve pre-training efficiency.
Ranked #36 on
Video Retrieval
on MSR-VTT-1kA
(using extra training data)
Razor SNN: Efficient Spiking Neural Network with Temporal Embeddings
The event streams generated by dynamic vision sensors (DVS) are sparse and non-uniform in the spatial domain, while still dense and redundant in the temporal domain.
Spectroscopy-Guided Discovery of Three-Dimensional Structures of Disordered Materials with Diffusion Models
In this work, we introduce a new framework based on the diffusion model, a recent generative machine learning method to predict 3D structures of disordered materials from a target property.
High-quality Single-model Deep Video Compression with Frame-Conv3D and Multi-frame Differential Modulation
This paper proposes a deep video compression method to simultaneously encode multiple frames with Frame-Conv3D and differential modulation.
