We address the problem of depth estimation from a single monocular image in the paper. Depth estimation from a single image is an ill-posed and inherently ambiguous problem. In the paper, we propose ...

Next-generation U-Net Encoder: Decoder for accurate, automated CTC detection from images of peripheral blood nucleated cells stained with EPCAM and DAPI.. If you have the appropriate software ...

In this paper, a high-efficiency encoder-decoder structure, inspired by the top-down attention mechanism in human brain perception and named human-like perception attention network (HPANet), is ...

At the core of FastVLM is an encoder called FastViTHD. This encoder was “specifically designed for efficient VLM performance on high-resolution images”.

The performance of OLA-VLM was rigorously tested on various benchmarks, showing substantial improvements over existing single- and multi-encoder models. On CV-Bench, a vision-centric benchmark suite, ...

NVIDIA's TensorRT-LLM now supports encoder-decoder models with in-flight batching, offering optimized inference for AI applications. Discover the enhancements for generative AI on NVIDIA GPUs.

Drug research: Decoding the structure of nano 'gene ferries' Date: November 27, 2024 Source: Ludwig-Maximilians-Universität München Summary: Researchers have investigated how cationic polymers ...

Recent research sheds light on the strengths and weaknesses of encoder-decoder and decoder-only models architectures in machine translation tasks.

PaliGemma’s architecture is inspired by the popular LLAVA design, utilizing a transformer-based encoder-decoder structure to process and generate both visual and textual information. It comprises ...