conftrace_

image resolution

18 papers

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Co-occurring keywords

neural network (6616) high-resolution image (59) semantic segmentation (3186) high resolution (66) vision-language model (2348) convolutional neural network (4226) computational efficiency (362) image restoration (1517) reinforcement learning (4352) image classification (1944)

Papers

Res-Bench: Benchmarking the Robustness of Multimodal Large Language Models to Dynamic Resolution Input AAAI 2026
Scaling Vision Pre-Training to 4K Resolution CVPR 2025
Task-Aware Resolution Optimization for Visual Large Language Models EMNLP 2025
SemVink: Advancing VLMs’ Semantic Understanding of Optical Illusions via Visual Global Thinking EMNLP 2025
LookHere: Vision Transformers with Directed Attention Generalize and Extrapolate NIPS 2024
Monkey: Image Resolution and Text Label Are Important Things for Large Multi-modal Models CVPR 2024
Large-to-Small Image Resolution Asymmetry in Deep Metric Learning WACV 2023
Deep Learning Radiographic Assessment of Pulmonary Edema: Training with Serum Biomarkers MIDL 2022
Exploiting Aliasing for Manga Restoration CVPR 2021
Improved Techniques for Training Single-Image GANs WACV 2021
Boosting Monocular Depth Estimation Models to High-Resolution via Content-Adaptive Multi-Resolution Merging CVPR 2021
Learning When and Where to Zoom With Deep Reinforcement Learning CVPR 2020
Deepstrip: High-Resolution Boundary Refinement CVPR 2020
Deep SR-ITM: Joint Learning of Super-Resolution and Inverse Tone-Mapping for 4K UHD HDR Applications ICCV 2019
Fixing the train-test resolution discrepancy NIPS 2019
Dynamic Zoom-In Network for Fast Object Detection in Large Images CVPR 2018
Full-Resolution Residual Networks for Semantic Segmentation in Street Scenes CVPR 2017
Similarity-Aware Patchwork Assembly for Depth Image Super-Resolution CVPR 2014