Object Detection


Object detection is a computer vision task in which the goal is to detect and locate objects of interest in an image or video. The task involves identifying the position and boundaries of objects in an image, and classifying the objects into different categories. It forms a crucial part of vision recognition, alongside image classification and retrieval.

Advances in Compliance Detection: Novel Models Using Vision-Based Tactile Sensors

Add code
Jun 17, 2025
Viaarxiv icon

3DGeoDet: General-purpose Geometry-aware Image-based 3D Object Detection

Add code
Jun 11, 2025
Viaarxiv icon

DySS: Dynamic Queries and State-Space Learning for Efficient 3D Object Detection from Multi-Camera Videos

Add code
Jun 11, 2025
Viaarxiv icon

MatchPlant: An Open-Source Pipeline for UAV-Based Single-Plant Detection and Data Extraction

Add code
Jun 14, 2025
Viaarxiv icon

Efficient Edge Deployment of Quantized YOLOv4-Tiny for Aerial Emergency Object Detection on Raspberry Pi 5

Add code
Jun 10, 2025
Viaarxiv icon

Domain Randomization for Object Detection in Manufacturing Applications using Synthetic Data: A Comprehensive Study

Add code
Jun 09, 2025
Viaarxiv icon

Lightweight Object Detection Using Quantized YOLOv4-Tiny for Emergency Response in Aerial Imagery

Add code
Jun 10, 2025
Viaarxiv icon

SpikeSMOKE: Spiking Neural Networks for Monocular 3D Object Detection with Cross-Scale Gated Coding

Add code
Jun 09, 2025
Viaarxiv icon

WD-DETR: Wavelet Denoising-Enhanced Real-Time Object Detection Transformer for Robot Perception with Event Cameras

Add code
Jun 10, 2025
Viaarxiv icon

GPLQ: A General, Practical, and Lightning QAT Method for Vision Transformers

Add code
Jun 13, 2025
Viaarxiv icon