Dense Object Detection Techniques

Research within this cluster targets advanced methodologies for densely detecting multiple objects within images. It includes innovative loss functions and filtering techniques to improve detection accuracy.

dense object detection
loss functions
filtering techniques
machine learning
computer vision

1,303 papers

Parent topic: Computer Vision and Object Detection

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Papers Over Time

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Top Papers

Focal Loss For Dense Object Detection

2017 · 16,699 citations

Focal Loss For Dense Object Detection

2020 · 4,122 citations

Learning Spatially Regularized Correlation Filters For Visual Tracking

2015 · 1,645 citations

Large Displacement Optical Flow: Descriptor Matching In Variational Motion Estimation

2011 · 1,040 citations

Learning Conditional Random Fields For Stereo

2007 · 611 citations

A Human-Machine Adversarial Scoring Framework For Urban Perception Assessment Using Street-View Images

2019 · 252 citations

A Unifying Contrast Maximization Framework For Event Cameras, With Applications To Motion, Depth, And Optical Flow Estimation

2018 · 233 citations

Non-rigid Visible And Infrared Face Registration Via Regularized Gaussian Fields Criterion

2015 · 204 citations

Multiple Kernel Tracking With SSD

0 · 180 citations

Multimodal Estimation Of Discontinuous Optical Flow Using Markov Random Fields

1993 · 180 citations

Advances In Adversarial Attacks And Defenses In Computer Vision: A Survey

2021 · 173 citations

Shape Statistics In Kernel Space For Variational Image Segmentation

2003 · 171 citations

Efficient Kernel Density Estimation Using The Fast Gauss Transform With Applications To Color Modeling And Tracking

2003 · 167 citations

Residual Networks For Light Field Image Super-Resolution

2019 · 166 citations

P-MVSNet: Learning Patch-Wise Matching Confidence Aggregation For Multi-View Stereo

2019 · 155 citations

Shadow Detection With Conditional Generative Adversarial Networks

2017 · 145 citations

A Deep Visual Correspondence Embedding Model For Stereo Matching Costs

2015 · 144 citations

Back To Basics: Unsupervised Learning Of Optical Flow Via Brightness Constancy And Motion Smoothness

2016 · 135 citations

Uncertainty Estimation For Stereo Matching Based On Evidential Deep Learning

2022 · 128 citations

Adaptive Unimodal Cost Volume Filtering For Deep Stereo Matching

2020 · 126 citations