MyChesCo on MSN

New 4K encoder breaks cover as Miri bets on simplicity in live streaming

READING, PA — A Pennsylvania-based technology firm is aiming to simplify the increasingly complex world of live video production with the launch of a new 4K encoder/decoder designed to serve ...
TV Tech

ISE: LYNX Technik Debuts New 4-Channel 12G-SDI Fiber Converters

The new 4-channel 12G-SDI fiber converters are available February 1st, 2026 through LYNX Technik’s global distribution network. For more information, visit www.lynx-technik.com or see LYNX Technik at ...
IEEE

Encoder-Decoder Contrast for Unsupervised Anomaly Detection in Medical Images

Abstract: Unsupervised anomaly detection (UAD) aims to recognize anomalous images based on the training set that contains only normal images. In medical image analysis, UAD benefits from leveraging ...
IEEE

Encoder-Decoder Based Deep Reinforcement Learning for Multi-AUV Assisted Data Collection in UWSNs

Abstract: Reliable and timely data collection poses a significant challenge for underwater wireless sensor networks (UWSNs), primarily due to the extremely low data rate of underwater communication ...
inc42

What Is Encoder-Decoder Architecture? Here’s All You Need to Know

What Is An Encoder-Decoder Architecture? An encoder-decoder architecture is a powerful tool used in machine learning, specifically for tasks involving sequences like text or speech. It’s like a ...
CNX Software

VVenC & VVdeC H.266 open source video encoder and decoder work on x86 and Arm

VVenC and VVdeC are open-source software H.266/VCC video encoder and decoder respectively that are optimized to use SIMD instructions on x86 (SSE42/SIMDe and AVX2) and Arm, and the decoder runs on ...
GitHub

SwinTransformer as encoder and Bart as decoder

I wanted to use an encoder decoder model with SwinTransformer as an encoder and bart-large as a decoder. I used VisionEncoderDecoderModel.from_encoder_decoder ...
GitHub

Questions on generating using encoder-decoder models

Hi, encoder-decoder models like T5 and BART create the decoder_input_ids automatically based on the labels you provide. So you should only provide the encoder inputs (input_ids, attention_mask, ...