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.

MLMT-CNN for Object Detection and Segmentation in Multi-layer and Multi-spectral Images

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Jul 19, 2024
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EmoCAM: Toward Understanding What Drives CNN-based Emotion Recognition

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Jul 19, 2024
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Enhancing Layout Hotspot Detection Efficiency with YOLOv8 and PCA-Guided Augmentation

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Jul 19, 2024
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FocusDiffuser: Perceiving Local Disparities for Camouflaged Object Detection

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Jul 18, 2024
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General Geometry-aware Weakly Supervised 3D Object Detection

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Jul 18, 2024
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Bucketed Ranking-based Losses for Efficient Training of Object Detectors

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Jul 19, 2024
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Learning Camouflaged Object Detection from Noisy Pseudo Label

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Jul 18, 2024
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Enhancing Source-Free Domain Adaptive Object Detection with Low-confidence Pseudo Label Distillation

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Jul 18, 2024
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DFMSD: Dual Feature Masking Stage-wise Knowledge Distillation for Object Detection

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Jul 18, 2024
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Temporal Correlation Meets Embedding: Towards a 2nd Generation of JDE-based Real-Time Multi-Object Tracking

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Jul 19, 2024
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