GitHub

ux-decoder/dinov

In this work, we introduce DINOv, a Visual In-Context Prompting framework for referring and generic segmentation tasks. For visualization and demos, we also recommend trying T-Rex demo link, which is ...
IEEE

Encoding–Decoding-Based Quantized Learning Control Using Spherical Polar Coordinates

Abstract: This study investigates the performance of discrete-time systems under quantized iterative learning control. An encoding–decoding mechanism is combined with a spherical polar ...
IEEE

Adaptive Quantized Iterative Learning Control Using Encoding-Decoding Strategy

Abstract: This study investigates the utilization of a dynamic encoding-decoding mechanism for transferred signals to explore adaptive quantized iterative learning ...
the-decoder

Google's NotebookLM now runs its own cloud computer with code execution and agent-based research

Google has overhauled NotebookLM. The AI research tool now runs on Gemini 3.5 Flash and Google's coding tool Antigravity. Each notebook gets its own cloud computer that can write and run code, with ...
the-decoder

Perplexity's "Search as Code" lets AI models write their own search pipelines instead of calling fixed APIs

Instead of calling a ready-made search API, models in Perplexity's new "Search as Code" architecture write their own search workflows as Python code. The company promises more precise results and ...
GitHub

SED: A Simple Encoder-Decoder for Open-Vocabulary Semantic Segmentation

We propose an encoder-decoder for open-vocabulary semantic segmentation comprising a hierarchical encoder-based cost map generation and a gradual fusion decoder. We introduce a category early ...