Search Results for author:
Found 8 papers, 2 papers with code
CU-Mamba: Selective State Space Models with Channel Learning for Image Restoration
Reconstructing degraded images is a critical task in image processing.
Differentiable Resolution Compression and Alignment for Efficient Video Classification and Retrieval
To address these issues, we propose an efficient video representation network with Differentiable Resolution Compression and Alignment mechanism, which compresses non-essential information in the early stage of the network to reduce computational costs while maintaining consistent temporal correlations.
Communication-Free Distributed GNN Training with Vertex Cut
Here, we introduce CoFree-GNN, a novel distributed GNN training framework that significantly speeds up the training process by implementing communication-free training.
Ranked #2 on
Node Classification
on Reddit
The System Description of dun_oscar team for The ICPR MSR Challenge
In task3, we employ the ASR system to improve the visual system, some false subtitles can be corrected by a fusion module.
3D-CSL: self-supervised 3D context similarity learning for Near-Duplicate Video Retrieval
In this paper, we introduce 3D-CSL, a compact pipeline for Near-Duplicate Video Retrieval (NDVR), and explore a novel self-supervised learning strategy for video similarity learning.
Focus Your Distribution: Coarse-to-Fine Non-Contrastive Learning for Anomaly Detection and Localization
To facilitate the learning with only normal images, we propose a new pretext task called non-contrastive learning for the fine alignment stage.
Ranked #49 on
Anomaly Detection
on MVTec AD
MST: Masked Self-Supervised Transformer for Visual Representation
More importantly, the masked tokens together with the remaining tokens are further recovered by a global image decoder, which preserves the spatial information of the image and is more friendly to the downstream dense prediction tasks.
Fuzzy inference system application for oil-water flow patterns identification
Scaling and corrosion will make the transportation process difficult, and transportation costs will be considerably increased.
