Media Summary: [CVPR 2026] Breaking the Regional Perception Bottleneck of MLLMs via External Reasoning Framework Disentangle-then-Align: Non-Iterative Hybrid Multimodal Image Registration via Cross-Scale Feature Disentanglement. [CVPR 2026] OddGridBench: Exposing the Lack of Fine-Grained Visual Discrepancy Sensitivity in MLLMs
Cvpr 2026 Linking Perception Confidence And Accuracy In Mllms - Detailed Analysis & Overview
[CVPR 2026] Breaking the Regional Perception Bottleneck of MLLMs via External Reasoning Framework Disentangle-then-Align: Non-Iterative Hybrid Multimodal Image Registration via Cross-Scale Feature Disentanglement. [CVPR 2026] OddGridBench: Exposing the Lack of Fine-Grained Visual Discrepancy Sensitivity in MLLMs T. Koleilat, H. Asgariandehkordi, O. Nejatimanzari, B. Barile, Y. Xiao*, H. Rivaz*, "MedCLIPSeg: Probabilistic Vision-Language ... This is a paper on how to make the explanation of classification models faithful to the classification results (category+ VIMCAN: Visual-Inertial 3D Human Pose Estimation with Hybrid Mamba-Cross-Attention Network.
Title: MUFASA: A Multi-Layer Framework for Slot Attention Authors: Sebastian Bock*, Leonie Schüßler*, Krishnakant Singh, ... Hyun Lee, Hyemin Jeong, Yejin Kim, Hyungwook Choi, Hyunsoo Cho, Soo Kyung Kim, Joonseok Lee. A More Word-like Image ...