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.

UniDet-D: A Unified Dynamic Spectral Attention Model for Object Detection under Adverse Weathers

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Jun 14, 2025
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Vision-based Lifting of 2D Object Detections for Automated Driving

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Jun 13, 2025
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GAMORA: A Gesture Articulated Meta Operative Robotic Arm for Hazardous Material Handling in Containment-Level Environments

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Jun 17, 2025
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Deep Learning-Based Multi-Object Tracking: A Comprehensive Survey from Foundations to State-of-the-Art

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Jun 16, 2025
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Teleoperated Driving: a New Challenge for 3D Object Detection in Compressed Point Clouds

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Jun 13, 2025
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Efficient Retail Video Annotation: A Robust Key Frame Generation Approach for Product and Customer Interaction Analysis

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Jun 17, 2025
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Open-Set LiDAR Panoptic Segmentation Guided by Uncertainty-Aware Learning

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Jun 16, 2025
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EraserDiT: Fast Video Inpainting with Diffusion Transformer Model

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Jun 15, 2025
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Advances in Compliance Detection: Novel Models Using Vision-Based Tactile Sensors

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Jun 17, 2025
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Teaching in adverse scenes: a statistically feedback-driven threshold and mask adjustment teacher-student framework for object detection in UAV images under adverse scenes

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Jun 12, 2025
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