Researchers propose RSGPNet, a training-free geometric prompting framework for open-vocabulary semantic segmentation in remote sensing, which improves segmentation accuracy by leveraging object geomet…
Researchers introduced HANCLIP, a family of vision-language models that restructure the embedding space to handle negation by combining hyperbolic and angular objectives. Trained on 20,000 image-text …
Researchers propose TheProfessor, a multi-teacher prompt distillation method for vision-language models that ensembles a domain-finetuned teacher and a zero-shot teacher. On four datasets, confidence-…
Researchers at ACL 2026 revealed PriceBlind, a visual adversarial attack that exploits a vulnerability called Visual Dominance Hallucination in multimodal large language models used as financial agent…
FocusOnFun team's Vortex system achieved 90.5% in the Preliminary Round and 'Excellent' overall performance with 'Outstanding' QA results at the Ho Chi Minh City AI Challenge 2025. The multimodal vide…
Noise Contrastive Estimation (NCE) and InfoNCE are machine learning methods for estimating statistical distributions by distinguishing real data from noise, with applications in language modeling, spe…
Researchers have developed Bayesian Conditional Priors (BCP) Estimation, a gradient-free test-time adaptation method that improves multi-label recognition with frozen Vision-Language Models under dist…
Researchers have developed L-VARC, a novel framework that enhances visual reasoning on the Abstraction and Reasoning Corpus (ARC) by integrating a language-guided Learning Using Privileged Information…
NVIDIA released a workflow for converting FP8-quantized CLIP model checkpoints into TensorRT engines, enabling faster inference and higher GPU throughput for production deployment. The process involve…
A systematic review of 97 studies from 2020 to 2026 found that large AI models in dentistry fall into three categories—language-generative, discriminative vision, and dental-specific foundation models…
Researchers introduced Spectral Guidance, a framework that controls diffusion models by exploiting the geometric structure of noise corruption to identify a small set of informative features. The meth…
Researchers have developed representation-conditioned diffusion models that generate synthetic training images by conditioning on learned representations from DINOv2, DINOv3, and CLIP, achieving a 10.…
Researchers introduced LongAV-Compass, a benchmark for evaluating minute-long audio-visual generation across text, image, and video conditioning modalities. The benchmark contains 284 test cases and a…
A unified evaluation of twelve deep learning models for binary skin cancer detection on the PAD-UFES-20 dataset found that well-tuned CNNs provide strong baselines, but transformer-based families cons…
Researchers have developed a brain-to-image system that decodes visual stimuli from EEG signals, achieving a mean Top-1 retrieval accuracy of 86.30% and a CLIP score of 0.903 for image reconstruction.…
Five key mistakes the author made while building Qioiper, a social media platform powered by seven AI systems. These errors included underestimating real-time latency for AI moderation, integrating CL…
Researchers discovered that artificial neural networks like CLIP contain "multimodal neurons" that respond to abstract concepts (such as "Spider-Man") across different input modalities like images and…