Sparse Autoencoders (SAEs) have recently gained attention as a means to improve the interpretability and steerability of Large Language Models (LLMs), both of which are essential for AI safety. In ...
Abstract: Vision systems that see and reason about the compositional nature of visual scenes are fundamental to understanding our world. The complex relations between objects and their locations, ...
HDPNet: Hourglass Vision Transformer with Dual-Path Feature Pyramid for Camouflaged Object Detection
Abstract: Existing camouflaged object detection methods often struggle with detecting small objects and fine object bound-aries. To alleviate these issues, we propose a novel hour-glass vision ...
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