Abstract: In this work, we propose a Wavelet-based Deep Auto Encoder-Decoder Network (WDAED) based image compression which takes care of the various frequency components present in an image.
In this paper, we introduce ML-Decoder, a new attention-based classification head. ML-Decoder predicts the existence of class labels via queries, and enables better utilization of spatial data ...
Statt eine fertige Such-API aufzurufen, sollen Modelle in Perplexitys neuer Architektur "Search as Code" ihre Suchabläufe als Python-Code schreiben. Das Unternehmen verspricht damit präzisere ...
Read full article about: Google's Gemini 3.5 Live Translate delivers real-time voice translation across 70+ languages Google releases Gemini 3.5 Live Translate, a real-time audio translation model for ...
Read full article about: OpenAI's IPO slips as Altman tells staff to expect a public offering "within the next year" OpenAI is preparing a new model codenamed 5.6, too. Research lead Jakub Pachocki ...
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 ...
Jeff Bezos’ KI-Startup Prometheus hat eine Finanzierungsrunde über 12 Milliarden Dollar abgeschlossen. Das Unternehmen wird dabei mit 41 Milliarden Dollar bewertet, wie CNBC berichtet. Prometheus war ...
Abstract: Existing state-of-the-art salient object detection networks rely on aggregating multi-level features of pre-trained convolutional neural networks (CNNs). However, compared to high-level ...
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