Tech Times

Diffusion LLM Learns to Be Its Own Draft Model: NVIDIA Releases Tri-Mode Open Weights

Nemotron-Labs-Diffusion, NVIDIA’s new tri-mode language model, eliminates the separate draft model in speculative decoding: ...
Frontiers

Bone age recognition based on mask R-CNN using xception regression model

Background and Objective: Bone age detection plays an important role in medical care, sports, judicial expertise and other fields. Traditional bone age identification and detection is according to ...
IEEE

Lightweight Mask RCNN for Warship Detection and Segmentation

As the term X(Everything)+AI indicates, AI is applied in every aspect of current societies. Likewise, the military requirements for AI are increasing as well. AIs that automatically detect and ...
GitHub

Classification of object in a specific image region using a convolutional neural net with ROI mask as input

Given an image and region of interest (ROI) mask as input, the net classifies the region of the image marked in the mask. Figure 1. Segment-specific Classification using CNN For example, in Figure 1 ...
Frontiers

Accurate Tumor Segmentation via Octave Convolution Neural Network

Three-dimensional (3D) liver tumor segmentation from Computed Tomography (CT) images is a prerequisite for computer-aided diagnosis, treatment planning, and monitoring of liver cancer. Despite many ...
Analytics India Magazine

Top 8 Books To Learn Convolutional Neural Networks

Yann Lecun's development of the first convolutional neural network revolutionised computer vision and artificial intelligence. CNNs analyse images by dividing them into sections, similar to how the ...
IEEE

Mask-Guided Attention Network and Occlusion-Sensitive Hard Example Mining for Occluded Pedestrian Detection

Abstract: Pedestrian detection relying on deep convolution neural networks has made significant progress. Though promising results have been achieved on standard pedestrians, the performance on ...