IEEE

Prostate Segmentation in MRI Using Transformer Encoder and Decoder Framework

Abstract: To develop an accurate segmentation model for the prostate and lesion area to help clinicians diagnose diseases, we propose a multi-encoder and decoder segmentation network, denoted ...
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 ...
the-decoder

Anthropic has raised $13 billion in new funding, boosting its valuation to $183 billion

Anthropic has raised $13 billion in a Series F funding round, bringing the company's valuation to $183 billion. The round was led by ICONIQ, with additional backing from Fidelity, Lightspeed, ...
GitHub

Prompt-In-the-Loop Distillation for On-Device Deployment of SAM

EdgeSAM is an accelerated variant of the Segment Anything Model (SAM), optimized for efficient execution on edge devices with minimal compromise in performance. It achieves a 40-fold speed increase ...
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 ...