2D Object Detection

29 papers with code • 2 benchmarks • 11 datasets

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Greatest papers with code

LightGBM: A Highly Efficient Gradient Boosting Decision Tree

Microsoft/LightGBM NeurIPS 2017

We prove that, since the data instances with larger gradients play a more important role in the computation of information gain, GOSS can obtain quite accurate estimation of the information gain with a much smaller data size.

2D Object Detection

YOLOX: Exceeding YOLO Series in 2021

Megvii-BaseDetection/YOLOX 18 Jul 2021

In this report, we present some experienced improvements to YOLO series, forming a new high-performance detector -- YOLOX.

2D Object Detection Autonomous Driving

Faster k-Medoids Clustering: Improving the PAM, CLARA, and CLARANS Algorithms

elki-project/elki 12 Oct 2018

It can easily be combined with earlier approaches to use PAM and CLARA on big data (some of which use PAM as a subroutine, hence can immediately benefit from these improvements), where the performance with high k becomes increasingly important.

2D Object Detection

Subcategory-aware Convolutional Neural Networks for Object Proposals and Detection

xiaohaoChen/rrc_detection 16 Apr 2016

In CNN-based object detection methods, region proposal becomes a bottleneck when objects exhibit significant scale variation, occlusion or truncation.

2D Object Detection General Classification +2

MonoGRNet: A Geometric Reasoning Network for Monocular 3D Object Localization

Zengyi-Qin/MonoGRNet 26 Nov 2018

We propose MonoGRNet for the amodal 3D object detection from a monocular RGB image via geometric reasoning in both the observed 2D projection and the unobserved depth dimension.

2D Object Detection 3D Object Detection +3

Perception for Autonomous Systems (PAZ)

oarriaga/paz 27 Oct 2020

In this paper we introduce the Perception for Autonomous Systems (PAZ) software library.

2D Object Detection 6D Pose Estimation +5

Pixel Recurrent Neural Networks

EugenHotaj/pytorch-generative 25 Jan 2016

Modeling the distribution of natural images is a landmark problem in unsupervised learning.

2D Object Detection Image Generation

IoU Loss for 2D/3D Object Detection

lilanxiao/Rotated_IoU 11 Aug 2019

In 2D/3D object detection task, Intersection-over-Union (IoU) has been widely employed as an evaluation metric to evaluate the performance of different detectors in the testing stage.

2D Object Detection 3D Object Detection