The rapid growth of video content has created a need for advanced systems to process and understand this complex data. Video understanding is a critical field in AI, where the goal is to enable ...
Long videos are brutal for today’s Large Vision-Language Models (LVLMs). A 30-60 minute clip contains thousands of frames, multiple speakers, on-screen text, and objects that appear, disappear, and ...
Object Detection is predominantly a vision task where we train a vision model, like YOLO, to predict the location of the object along with its class. But still it depends on the pre-trained classes, ...
Welcome back to our LangGraph series! In our previous post, we explored the fundamental concepts of LangGraph by building a Visual Web Browser Agent that could navigate, see, scroll, and ...
In the groundbreaking 2017 paper "Attention Is All You Need", Vaswani et al. introduced Sinusoidal Position Embeddings to help Transformers encode positional information, without recurrence or ...
Self-attention, the beating heart of Transformer architectures, treats its input as an unordered set. That mathematical elegance is also a curse: without extra signals, the model has no idea which ...
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