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Greatest papers with code

Focal Loss for Dense Object Detection

ICCV 2017 tensorflow/models

Our novel Focal Loss focuses training on a sparse set of hard examples and prevents the vast number of easy negatives from overwhelming the detector during training.

DENSE OBJECT DETECTION REAL-TIME OBJECT DETECTION REGION PROPOSAL

Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection

NeurIPS 2020 open-mmlab/mmdetection

Specifically, we merge the quality estimation into the class prediction vector to form a joint representation of localization quality and classification, and use a vector to represent arbitrary distribution of box locations.

DENSE OBJECT DETECTION

Precise Detection in Densely Packed Scenes

CVPR 2019 eg4000/SKU110K_CVPR19

We propose a novel, deep-learning based method for precise object detection, designed for such challenging settings.

DENSE OBJECT DETECTION

BorderDet: Border Feature for Dense Object Detection

ECCV 2020 Megvii-BaseDetection/BorderDet

In this paper, We propose a simple and efficient operator called Border-Align to extract "border features" from the extreme point of the border to enhance the point feature.

DENSE OBJECT DETECTION

Generalized Focal Loss V2: Learning Reliable Localization Quality Estimation for Dense Object Detection

25 Nov 2020implus/GFocalV2

Such a property makes the distribution statistics of a bounding box highly correlated to its real localization quality.

DENSE OBJECT DETECTION OBJECT CLASSIFICATION

AutoAssign: Differentiable Label Assignment for Dense Object Detection

7 Jul 2020Megvii-BaseDetection/AutoAssign

During training, to both satisfy the prior distribution of data and adapt to category characteristics, we present Center Weighting to adjust the category-specific prior distributions.

DENSE OBJECT DETECTION

Benchmark for Generic Product Detection: A Low Data Baseline for Dense Object Detection

19 Dec 2019ParallelDots/generic-sku-detection-benchmark

We train a standard object detector on a small, normally packed dataset with data augmentation techniques.

DATA AUGMENTATION DENSE OBJECT DETECTION

Robust and Efficient Post-Processing for Video Object Detection (REPP)

1 Oct 2020AlbertoSabater/Robust-and-efficient-post-processing-for-video-object-detection

Object recognition in video is an important task for plenty of applications, including autonomous driving perception, surveillance tasks, wearable devices or IoT networks.

AUTONOMOUS DRIVING DENSE OBJECT DETECTION OBJECT RECOGNITION REAL-TIME OBJECT DETECTION VIDEO OBJECT DETECTION

A Solution to Product detection in Densely Packed Scenes

23 Jul 2020Media-Smart/SKU110K-DenseDet

To grasp the essential feature of the densely packed scenes, we analysis the stages of a detector and investigate the bottleneck which limits the performance.

DENSE OBJECT DETECTION