GitHub - UX-Decoder/Segment-Everything-Everywhere-All-At-Once: Official implementation of the paper “Segment Everything Everywhere All at Once”
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)
지금까지 object detection 모델을 설명하기 위해서 Region proposal, Anchor box, NMS 등등 새로운 개념들이 많이 등장했습니다. 이런 개념들은 …
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 segmentationt…
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-a…
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-…
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