conftrace_
← Learning Types
Deep Learning › Learning Types ›

Multi-Scale Learning

15 papers

Papers per year

1
1
3
3
1
2
1
2
1

Papers

CrossFusion: A Multi-Scale Cross-Attention Convolutional Fusion Model for Cancer Survival Prediction MIDL 2026
M²N: A Progressive Macro-to-Micro 3D Modeling Scheme for Unveiling Drug-Target Affinity AAAI 2025
Ghidorah: Towards Robust Multi-Scale Information Diffusion Prediction via Test-Time Training AAAI 2025
Pyramid Architecture for Multi-Scale Processing in Point Cloud Segmentation CVPR 2022
To Choose or to Fuse? Scale Selection for Crowd Counting AAAI 2021
A Decomposition Model for Stereo Matching CVPR 2021
FAS-Net: Construct Effective Features Adaptively for Multi-Scale Object Detection AAAI 2020
Efficient Featurized Image Pyramid Network for Single Shot Detector CVPR 2019
ZigZagNet: Fusing Top-Down and Bottom-Up Context for Object Segmentation CVPR 2019
Uncertainty Guided Multi-Scale Residual Learning-Using a Cycle Spinning CNN for Single Image De-Raining CVPR 2019
A Bi-Directional Message Passing Model for Salient Object Detection CVPR 2018
Context Contrasted Feature and Gated Multi-Scale Aggregation for Scene Segmentation CVPR 2018
Structured Attention Guided Convolutional Neural Fields for Monocular Depth Estimation CVPR 2018
Scale-Aware Face Detection CVPR 2017
Hierarchically Gated Deep Networks for Semantic Segmentation CVPR 2016