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.

Retrospective Memory for Camouflaged Object Detection

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Jun 18, 2025
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Comparison of Two Methods for Stationary Incident Detection Based on Background Image

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Jun 17, 2025
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Sparse Convolutional Recurrent Learning for Efficient Event-based Neuromorphic Object Detection

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Jun 16, 2025
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FORTE: Tactile Force and Slip Sensing on Compliant Fingers for Delicate Manipulation

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Jun 23, 2025
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Probabilistic Trajectory GOSPA: A Metric for Uncertainty-Aware Multi-Object Tracking Performance Evaluation

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Jun 18, 2025
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How Real is CARLAs Dynamic Vision Sensor? A Study on the Sim-to-Real Gap in Traffic Object Detection

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Jun 16, 2025
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Dense Video Captioning using Graph-based Sentence Summarization

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Jun 25, 2025
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Lecture Video Visual Objects (LVVO) Dataset: A Benchmark for Visual Object Detection in Educational Videos

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Jun 16, 2025
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Cognitive Synergy Architecture: SEGO for Human-Centric Collaborative Robots

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Jun 16, 2025
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VisText-Mosquito: A Multimodal Dataset and Benchmark for AI-Based Mosquito Breeding Site Detection and Reasoning

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Jun 17, 2025
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