Abstract: Haze obscures remote sensing images, hindering valuable information extraction. To this end, we propose RSHazeNet, an encoder-minimal and decoder-minimal framework for efficient remote ...
Abstract: To carry out cell counting, it is common to use neural network models with an encoder-decoder structure to generate regression density maps. In the encoder-decoder structure, skip ...
How-To Geek on MSN
This one Linux terminal tool replaced half my text-processing commands
Tired of using many different commands, each with dozens of flags, to transform text? Meet sttr, a command-line tool that can ...
Perception Encoder, PE, is the core vision stack in Meta’s Perception Models project. It is a family of encoders for images, video, and audio that reaches state of the art on many vision and audio ...
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 ...
Pangram's new 3.0 version adds a feature that not only distinguishes between human and AI-generated text, but also indicates how much AI assistance was involved. The company claims the updated model ...
CLIP is one of the most important multimodal foundational models today, aligning visual and textual signals into a shared feature space using a simple contrastive learning loss on large-scale ...
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