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.

BakuFlow: A Streamlining Semi-Automatic Label Generation Tool

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Jun 10, 2025
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ADAM: Autonomous Discovery and Annotation Model using LLMs for Context-Aware Annotations

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Jun 10, 2025
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UCOD-DPL: Unsupervised Camouflaged Object Detection via Dynamic Pseudo-label Learning

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Jun 08, 2025
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ATAS: Any-to-Any Self-Distillation for Enhanced Open-Vocabulary Dense Prediction

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Jun 10, 2025
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Multiple Object Stitching for Unsupervised Representation Learning

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Jun 09, 2025
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Polar Hierarchical Mamba: Towards Streaming LiDAR Object Detection with Point Clouds as Egocentric Sequences

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Jun 07, 2025
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SpatialLM: Training Large Language Models for Structured Indoor Modeling

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Jun 09, 2025
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Edge-Enabled Collaborative Object Detection for Real-Time Multi-Vehicle Perception

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Jun 06, 2025
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CrosswalkNet: An Optimized Deep Learning Framework for Pedestrian Crosswalk Detection in Aerial Images with High-Performance Computing

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Jun 09, 2025
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Interpreting Biomedical VLMs on High-Imbalance Out-of-Distributions: An Insight into BiomedCLIP on Radiology

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Jun 17, 2025
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