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Found 11 papers, 6 papers with code
Investigating and Mitigating the Multimodal Hallucination Snowballing in Large Vision-Language Models
To mitigate this, we further propose a training-free method called Residual Visual Decoding, where we revise the output distribution of LVLMs with the one derived from the residual visual input, providing models with direct access to the visual information.
CCML: Curriculum and Contrastive Learning Enhanced Meta-Learner for Personalized Spatial Trajectory Prediction
Moreover, these methods do not explicitly consider the diversity of moving patterns among users and trajectories, i. e., the learning difficulty of different user and trajectory samples, thus hindering the improvement of prediction accuracy.
ScoreHypo: Probabilistic Human Mesh Estimation with Hypothesis Scoring
Experimental results demonstrate that HypoNet outperforms existing state-of-the-art probabilistic methods as a multi-hypothesis mesh estimator.
Probing Synergistic High-Order Interaction in Infrared and Visible Image Fusion
To bridge this gap we introduce a Synergistic High-order Interaction Paradigm (SHIP) designed to systematically investigate spatial fine-grained and global statistics collaborations between infrared and visible images across two fundamental dimensions: 1) Spatial dimension: we construct spatial fine-grained interactions through element-wise multiplication mathematically equivalent to global interactions and then foster high-order formats by iteratively aggregating and evolving complementary information enhancing both efficiency and flexibility.
Target-Grounded Graph-Aware Transformer for Aerial Vision-and-Dialog Navigation
This report details the methods of the winning entry of the AVDN Challenge in ICCV CLVL 2023.
Omnipotent Adversarial Training in the Wild
We first introduce an oracle into the adversarial training process to help the model learn a correct data-label conditional distribution.
Mixed noise reduction via sparse error constraint representation of high frequency image for wildlife image
Wildlife image noise reduction is a difficult and challenging problem since the images are inevitably corrupted by the mixed noise in the complex field environments.
Hahn polynomials for hypergeometric distribution
Orthogonal polynomials for the multivariate hypergeometric distribution are defined on lattices in polyhedral domains in $\RR^d$.
Classical Analysis and ODEs 33C50, 33C70, 42C05
Orthogonal polynomials in and on a quadratic surface of revolution
We present explicit constructions of orthogonal polynomials inside quadratic bodies of revolution, including cones, hyperboloids, and paraboloids.
Classical Analysis and ODEs Numerical Analysis Numerical Analysis 42C05, 42C10, 65D15, 65D32
Quantum generative adversarial learning in a superconducting quantum circuit
Generative adversarial learning is one of the most exciting recent breakthroughs in machine learning---a subfield of artificial intelligence that is currently driving a revolution in many aspects of modern society.
Quantum Physics Disordered Systems and Neural Networks Superconductivity
UniMa at SemEval-2018 Task 7: Semantic Relation Extraction and Classification from Scientific Publications
Large repositories of scientific literature call for the development of robust methods to extract information from scholarly papers.
