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 ...
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Read full article about: Tesla caps employee AI spending at $200 per week Tesla caps employee AI spending at $200 per week, according to an internal memo reported by The Information. The rule took ...
This project is a JPEG decoder core for FPGA written in Verilog. Fast decode performance suitable for video playback Support a minimal JPEG baseline feature set. Be well tested (with verification ...
Read full article about: Anthropic launches Claude Science, an AI workspace built specifically for researchers Anthropic released Claude Science, an AI workbench built for scientists. The app pulls ...
Abstract: A new method is given for performing approximate maximum-likelihood (ML) decoding of an arbitrary binary linear code based on observations received from any discrete memoryless symmetric ...
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