GitHub

R1-Track: Direct Application of MLLMs to Visual Object Tracking via Reinforcement Learning

Visual (Single) Object Tracking aims to continuously localize and estimate the scale of a target in subsequent video frames, given only its initial state in the first frame. This task can be ...
GitHub

VAR: a new visual generation method elevates GPT-style models beyond diffusion & Scaling laws observed

🕹️ Try and Play with VAR! We provide a demo website for you to play with VAR models and generate images interactively. Enjoy the fun of visual autoregressive modeling! We provide a demo website for ...
IEEE

A Dual-Attention Learning Network With Word and Sentence Embedding for Medical Visual Question Answering

Abstract: Research in medical visual question answering (MVQA) can contribute to the development of computer-aided diagnosis. MVQA is a task that aims to predict accurate and convincing answers based ...
MUO on MSN

I picked up basic VBA scripting and Excel suddenly got much better

If programming or scripting in general scares you, you don't need to worry either. You don't need to be a programming wizard ...
IEEE

Adaptive Fusion Learning for Compositional Zero-Shot Recognition

Abstract: Compositional Zero-Shot Learning (CZSL) aims to learn visual concepts (i.e., attributes and objects) from seen compositions and combine them to predict unseen compositions. Existing visual ...