GitHub - UX-Decoder/Segment-Everything-Everywhere-All-At-Once: Official implementation of the paper โSegment Everything Everywhere All at Onceโ
Official implementation of the paper "Segment Everything Everywhere All at Once" - GitHub - UX-Decoder/Segment-Everything-Everywhere-All-At-Once: Official implementation of the paper &quo...
UX-Decoder3) DETR (Detection with Transformer)
์ง๊ธ๊น์ง object detection ๋ชจ๋ธ์ ์ค๋ช
ํ๊ธฐ ์ํด์ Region proposal, Anchor box, NMS ๋ฑ๋ฑ ์๋ก์ด ๊ฐ๋
๋ค์ด ๋ง์ด ๋ฑ์ฅํ์ต๋๋ค. ์ด๋ฐ ๊ฐ๋
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Per-Pixel Classification is Not All You Need for Semantic Segmentation
Modern approaches typically formulate semantic segmentation as a per-pixelclassification task, while instance-level segmentation is handled with analternative mask classification. Our key insight: mask classification issufficiently general to solve both semantic- and instance-level segmentationtโฆ
Bowen Cheng
Masked-attention Mask Transformer for Universal Image Segmentation
Image segmentation is about grouping pixels with different semantics, e.g.,category or instance membership, where each choice of semantics defines a task.While only the semantics of each task differ, current research focuses ondesigning specialized architectures for each task. We present Masked-aโฆ
Bowen ChengGeneralized Decoding for Pixel, Image, and Language
We present X-Decoder, a generalized decoding model that can predictpixel-level segmentation and language tokens seamlessly. X-Decodert takes asinput two types of queries: (i) generic non-semantic queries and (ii) semanticqueries induced from text inputs, to decode different pixel-level andtoken-โฆ
Xueyan ZouGitHub - kyegomez/Sophia: Effortless plugin and play Optimizer to cut model training costs by 50%. New optimizer that is 2x faster than Adam on LLMs.
Effortless plugin and play Optimizer to cut model training costs by 50%. New optimizer that is 2x faster than Adam on LLMs. - GitHub - kyegomez/Sophia: Effortless plugin and play Optimizer to cut...
kyegomez
