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.

Towards Reliable Detection of Empty Space: Conditional Marked Point Processes for Object Detection

Add code
Jun 26, 2025
Viaarxiv icon

LASFNet: A Lightweight Attention-Guided Self-Modulation Feature Fusion Network for Multimodal Object Detection

Add code
Jun 26, 2025
Viaarxiv icon

ThermalDiffusion: Visual-to-Thermal Image-to-Image Translation for Autonomous Navigation

Add code
Jun 26, 2025
Viaarxiv icon

A Comprehensive Dataset for Underground Miner Detection in Diverse Scenario

Add code
Jun 26, 2025
Viaarxiv icon

TITAN: Query-Token based Domain Adaptive Adversarial Learning

Add code
Jun 26, 2025
Viaarxiv icon

Lightweight Multi-Frame Integration for Robust YOLO Object Detection in Videos

Add code
Jun 25, 2025
Viaarxiv icon

SiM3D: Single-instance Multiview Multimodal and Multisetup 3D Anomaly Detection Benchmark

Add code
Jun 26, 2025
Viaarxiv icon

VisionGuard: Synergistic Framework for Helmet Violation Detection

Add code
Jun 26, 2025
Viaarxiv icon

A Survey of Multi-sensor Fusion Perception for Embodied AI: Background, Methods, Challenges and Prospects

Add code
Jun 24, 2025
Viaarxiv icon

SFNet: Fusion of Spatial and Frequency-Domain Features for Remote Sensing Image Forgery Detection

Add code
Jun 25, 2025
Viaarxiv icon