Objective: Digital-based visual training (VT) is widely employed to improve visual-cognitive performance, yet its efficacy may be confounded by the “learning effect”. Methods: A systematic literature ...
Dr. James McCaffrey presents a complete end-to-end demonstration of the kernel ridge regression technique to predict a single numeric value. The demo uses stochastic gradient descent, one of two ...
Abstract: Visual place recognition (VPR) is crucial for robots to identify previously visited locations, playing an important role in autonomous navigation in both indoor and outdoor environments.
Abstract: Medical Visual Question Answering (MedVQA) is an emerging field that combines natural language processing and computer vision to enable systems to answer questions about medical images.
⚡️ [CLS] Attention is All You Need for Training-Free Visual Token Pruning: Make VLM Inference Faster
conda create -n fastervlm python=3.10 -y conda activate fastervlm pip install -e . (Optional) Install FlashAttention for further inference acceleration. LLaVA-1.5 Vicuna-7B liuhaotian/llava-v1.5-7b ...
This repository contains the official implementation of our ICLR 2025 paper "MLLMs Know Where to Look: Training-free Perception of Small Visual Details with Multimodal LLMs". Our method enables ...
This press release features multimedia. View the full release here: https://www.businesswire.com/news/home/20250826899765/en/ There’s something grounding about ...
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