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Compositional scene modeling with global object-centric representations
The appearance of the same object may vary in different scene images due to occlusions between objects. Humans can quickly identify the same object,...
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Small object detection in diverse application landscapes: a survey
The importance of object detection within computer vision, especially in the context of detecting small objects, has notably increased. This thorough...
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A review of 3D object detection based on autonomous driving
3D object detection is a popular research direction in recent years, which plays an important role in the fields of automatic driving, intelligent...
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A broader study of cross-domain few-shot object detection
Latest studies on few-shot object detection (FSOD) mainly focuses on achieving better performance in novel class through few-shot fine-tuning. This...
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Multi-source-free Domain Adaptive Object Detection
To enhance the transferability of object detection models in real-world scenarios where data is sampled from disparate distributions, considerable...
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Industrial few-shot fractal object detection
In practical industrial visual inspection tasks, foreign object data are difficult to collect and accumulate, hence few-shot object detection has...
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Saliency-based dual-attention network for unsupervised video object segmentation
This paper solves the task of unsupervised video object segmentation (UVOS) that segments the objects of interest through the entire videos without...
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MSSD: multi-scale self-distillation for object detection
Knowledge distillation techniques have been widely used in the field of deep learning, usually by extracting valid information from a neural network...
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Cross-scale information enhancement for object detection
Object detection usually adopts multi-scale fusion to enrich the information of the object, and the Feature Pyramid Network (FPN) is a common method...
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Employing cross-domain modelings for robust object detection in dynamic environment of autonomous vehicles
Object detection (OD) in Advanced Driver Assistant Systems (ADAS) has been a fundamental problem especially when complex unseen cross-domain...
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Object-Oriented Programming
The main idea behind object-oriented programming is to help write more reliable software. Smaller programs are easier to write and understand than...
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Image and Object Geo-Localization
The concept of geo-localization broadly refers to the process of determining an entity’s geographical location, typically in the form of Global...
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Multimodal query-guided object localization
Recent studies have demonstrated the effectiveness of using hand-drawn sketches of objects as queries for one-shot object localization. However,...
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Human–object interaction detection based on disentangled axial attention transformer
Human–object interaction (HOI) detection aims to localize and infer interactions between human and objects in an image. Recent work proposed...
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Deep Gradient Learning for Efficient Camouflaged Object Detection
This paper introduces deep gradient network (DGNet), a novel deep framework that exploits object gradient supervision for camouflaged object...
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Neighborhood sampling confidence metric for object detection
Object detection using deep learning has recently gained significant attention due to its impressive results in a variety of applications, such as...
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FOF: a fine-grained object detection and feature extraction end-to-end network
Currently, widely used object detection can predict targets present in the training set. However, in fine-grained object detection tasks, such as...
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Predicting object properties based on movement kinematics
In order to grasp and transport an object, grip and load forces must be scaled according to the object’s properties (such as weight). To select the...
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Task-decoupled interactive embedding network for object detection
Traditional object detection methods rely on manually annotated data, which can be costly and time-consuming, particularly for objects with low...
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Adaptive multi-object tracking algorithm based on split trajectory
Multi-object tracking (MOT) has wide-ranging applications in unmanned vehicles, military reconnaissance, and video surveillance. However, real-world...
