IEEE

Salient Object Detection of Dynamic Night Scenes via Bio-Inspired Spotlight Attention and Hierarchical Edge-Texture Fusion

Abstract: The perception of night scenes is of crucial importance for driving safety. In the dimly lit night environment, as the visibility of objects decreases, both experienced and inexperienced ...
IEEE

UniROD: Unified Radar Object Detection with MAE-pretrained CNN-Transformer Fusion

Abstract: Millimeter-wave radar object detection has become pivotal for autonomous driving systems requiring all-weather reliability. While conventional CFAR methods face limitations in classification ...
IEEE

Ensemble of Fast R-CNN with Bi-LSTM for Object Detection

Abstract: Object detection is a critical task in computer vision, with applications ranging from autonomous driving to medical imaging. Traditional object detection models, such as Fast R-CNN, have ...
IEEE

Unsupervised 3D Object Detection by Commonsense Clue

Abstract: Traditional 3D object detectors, whether fully-, semi-, or weakly-supervised, rely heavily on extensive human annotations. In contrast, this paper introduces an unsupervised 3D object ...
IEEE

LVMSOD: Lightweight Visual Mamba Small Object Detection for Autonomous Vehicles

Abstract: The application of object detection in industrial transportation has witnessed substantial advancements, yielding significant enhancements in both safety and efficiency. While ...
IEEE

Single-Domain Generalized Object Detection With Frequency Whitening and Contrastive Learning

Abstract: Single-Domain Generalization Object Detection (Single-DGOD) refers to training a model with only one source domain, enabling the model to generalize to any unseen domain. For instance, a ...
IEEE

A Verilog based Approach for Object Detection using CNN

Abstract: A Convolutional Neural Network (CNN) are a class of artificial neural networks specifically designed to process data with a grid-like topology, such as images, making them well-suited for ...
Ars Technica

TikTok users “absolutely justified” in fearing MAGA makeover, experts say

TikTok wants users to believe that errors blocking uploads of anti-ICE videos or direct messages mentioning Jeffrey Epstein are due to technical errors—not the platform shifting to censor content ...
IEEE

Active Learning for Object Detection With Vectorized Dual Pseudo Loss and Multiple Instance Offset Constraint

Abstract: Existing active learning methods for object detection face challenges, such as the lack of ground truth labels for regression loss, insufficient representation of unlabeled instance samples ...
GitHub

A brand logo detection system using Tensorflow Object Detection API.

Description Tensorflow Object Detection API is the easy to use framework for creating a custom deep learning model that solves object detection problems. If you already have your own dataset, you can ...