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From the 1 of 43 linked papers with an AI index.

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cs.CV2026

Gated Relational Alignment via Confidence-based Distillation for Efficient VLMs

Yanlong Chen, Amirhossein Habibian, Luca Benini +1

Vision-Language Models (VLMs) achieve strong multimodal performance but are costly to deploy, and post-training quantization often causes significant accuracy loss. Despite its pot…

cs.CV2026

Beyond GSD-as-Token: Continuous Scale Conditioning for Remote Sensing VLMs

Song Zhang, Yanlong Chen, Yilin Li +4

Remote sensing vision-language models (RS-VLMs) face a fundamental mismatch with natural-image counterparts: the same geographic object exhibits radically different visual evidence…

cs.CV2026

Q-MambaIR: Accurate Quantized Mamba for Efficient Image Restoration

Yujie Chen, Haotong Qin, Zhang Zhang +3

State-Space Models (SSMs) have attracted considerable attention in Image Restoration (IR) due to their ability to scale linearly sequence length while effectively capturing long-di…

cs.CV2026

The Eleventh NTIRE 2026 Efficient Super-Resolution Challenge Report

Bin Ren, Hang Guo, Yan Shu +60

This paper reviews the NTIRE 2026 challenge on efficient single-image super-resolution with a focus on the proposed solutions and results. The aim of this challenge is to devise a…

cs.CV2026

ATD: Improved Transformer with Adaptive Token Dictionary for Image Restoration

Leheng Zhang, Wei Long, Yawei Li +3

Recently, Transformers have gained significant popularity in image restoration tasks such as image super-resolution and denoising, owing to their superior performance. However, bal…

cs.CV2026

Efficient Degradation-agnostic Image Restoration via Channel-Wise Functional Decomposition and Manifold Regularization

Bin Ren, Yawei Li, Xu Zheng +6

Degradation-agnostic image restoration aims to handle diverse corruptions with one unified model, but faces fundamental challenges in balancing efficiency and performance across di…