Multi-Scale Learning
19 papers
Papers per year
1
1
4
3
1
2
1
4
2
'20
'25
Papers
CrossFusion: A Multi-Scale Cross-Attention Convolutional Fusion Model for Cancer Survival Prediction
MIDL 2026
Next-Scale Autoregressive Models for Text-to-Motion Generation
CVPR 2026
Exploring the Power of Empirical Mode Decomposition for Sensing the Sound of Silence: A Pilot Study on Mice Autism Detection via Ultrasonic Vocalisation
Interspeech 2025
Ghidorah: Towards Robust Multi-Scale Information Diffusion Prediction via Test-Time Training
AAAI 2025
Infant Cry Emotion Recognition Using Improved ECAPA-TDNN with Multi-scale Feature Fusion and Attention Enhancement
Interspeech 2025
M²N: A Progressive Macro-to-Micro 3D Modeling Scheme for Unveiling Drug-Target Affinity
AAAI 2025
Pyramid Architecture for Multi-Scale Processing in Point Cloud Segmentation
CVPR 2022
A Decomposition Model for Stereo Matching
CVPR 2021
To Choose or to Fuse? Scale Selection for Crowd Counting
AAAI 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
Uncertainty Guided Multi-Scale Residual Learning-Using a Cycle Spinning CNN for Single Image De-Raining
CVPR 2019
ZigZagNet: Fusing Top-Down and Bottom-Up Context for Object Segmentation
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
ZoomNet: Deep Aggregation Learning for High-Performance Small Pedestrian Detection
ACML 2018
Scale-Aware Face Detection
CVPR 2017
Hierarchically Gated Deep Networks for Semantic Segmentation
CVPR 2016