DeepSeek V4 Adds Blackwell SM100 and FP4 Support for Lower-Cost Scaling

DeepSeek V4 ships native multimodal input with lower latency, plus support for Blackwell SM100 and FP4 compute scaling.
IEEE

Text-Derived Relational Graph-Enhanced Network for Skeleton-Based Action Segmentation

Abstract: Skeleton-based Temporal Action Segmentation (STAS) aims to segment and recognize various actions from long, untrimmed sequences of human skeletal movements. Current STAS methods typically ...
GitHub

Text-Guided Cross-Position Attention for Segmentation: Case of Medical Image #57

And I used the CLIP and VGG models to reproduce this paper. [Paper](https://link.springer.com/chapter/10.1007/978-3-031-43904-9_52) ![image](https://github.com ...
Frontiers

Super-resolution microscopy and deep learning methods: what can they bring to neuroscience: from neuron to 3D spine segmentation

In recent years, advances in microscopy and the development of novel fluorescent probes have significantly improved neuronal imaging. Many neuropsychiatric disorders are characterized by alterations ...
IEEE

EfficientSeg: A self-supervised image-and-text-to-point cloud distillation method toward annotation-efficient semantic segmentation

Abstract: Point cloud semantic segmentation based on LIDAR sensors is critical for intelligent vehicles to perceive and interpret their environment accurately. Traditional, fully supervised methods ...
Scientific Research Publishing

Sharma, P. and Sachan, M.K. (2017) A Review on Character Segmentation of Touching and Half Character in Handwritten Hindi Text. International Journal of Advanced Research in ...

ABSTRACT: In this paper, a novel multilingual OCR (Optical Character Recognition) method for scanned papers is provided. Current open-source solutions, like Tesseract, offer extremely high accuracy ...
Scientific Research Publishing

Minaee, S., Boykov, Y.Y., Porikli, F., Plaza, A.J., Kehtarnavaz, N. and Terzopoulos, D. (2021) Image Segmentation Using Deep Learning: A Survey. IEEE Transactions on Pattern ...

ABSTRACT: In this paper, a novel multilingual OCR (Optical Character Recognition) method for scanned papers is provided. Current open-source solutions, like Tesseract, offer extremely high accuracy ...