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.

End-to-end Audio Deepfake Detection from RAW Waveforms: a RawNet-Based Approach with Cross-Dataset Evaluation

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Apr 30, 2025
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Neural network task specialization via domain constraining

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Apr 28, 2025
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GMAR: Gradient-Driven Multi-Head Attention Rollout for Vision Transformer Interpretability

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Apr 28, 2025
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ODExAI: A Comprehensive Object Detection Explainable AI Evaluation

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Apr 27, 2025
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Foundation Model-Driven Framework for Human-Object Interaction Prediction with Segmentation Mask Integration

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Apr 28, 2025
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Simultaneous Pick and Place Detection by Combining SE(3) Diffusion Models with Differential Kinematics

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Apr 28, 2025
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FBRT-YOLO: Faster and Better for Real-Time Aerial Image Detection

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Apr 29, 2025
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Boosting Single-domain Generalized Object Detection via Vision-Language Knowledge Interaction

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Apr 27, 2025
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Improving Small Drone Detection Through Multi-Scale Processing and Data Augmentation

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Apr 27, 2025
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Transcending Dimensions using Generative AI: Real-Time 3D Model Generation in Augmented Reality

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Apr 27, 2025
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