關於 object detection sota ，我們在網路上蒐集到這些相關的討論、資訊與評價

#11. SOTA object detection on MS COCO 2021-06-14 | Metaculus

Object detection is the task of detecting instances of objects of a certain class within an image. Microsoft's Common Objects in Context (COCO) ...

#12. SOTA of Real Time Object Detection | YOLOR - 知乎专栏

SOTA of Real Time Object Detection | YOLOR. 11 天前· 来自专栏计算机视觉笔记. 2021-5-10发表，. yolor和yolov4 ...

#13. Object Detection on COCO minival Benchmark - sotabench

Object Detection on COCO minival. Leaderboard; Models Yet to Try; Contribute Models. Created with Highcharts 7.2.0 IMAGES PER SECOND BOX AP EfficientDet-D7 ...

#14. Preparing State-of-the-Art Models for Classification and Object ...

Summary of SOTA vs. TAO Toolkit accuracy for classification networks. Train object detection models on PASCAL VOC and COCO datasets. In this ...

#15. Activity Driven Weakly Supervised Object Detection - CVF ...

Our approach outperformed the current state-of-the-art (SOTA) method by more than 6% in mAP on the Charades video dataset. 1. Introduction. Deep learning ...

#16. High Dynamic Range object detection and tracking ...

in this project we mainly focus on the computer vision task of scene recognition via multiple object detection and tracking. Although state-of-the-art (SOTA) ...

#17. Benchmarking SOTA visual object detection techniques for ...

We propose to benchmark these methods for object detection with real-life medical datasets, such as a collection CT scan slices. The above deep ...

#18. 3D Object Detection Evaluation 2017 - The KITTI Vision ...

Method Moderate Easy Hard Runtime Environment 1 SFD 84.76 % 91.73 % 77.92 % 0.1 s 1 core @ 2.5 Ghz (Python + C/C++) 2 Anonymous 83.96 % 90.83 % 77.47 % n/a s 1 core @ 2.5 Ghz (Python + C/C++) 3 DGDNH 83.88 % 90.69 % 79.50 % 0.04 s 1 core @ 2.5 Ghz (C/C++)

#19. Google Brain NAS-FPN Outperforms SOTA Models for Object ...

Current state-of-the-art convolutional architectures for object detection tasks are human-designed. In a recent paper, Google Brain ...

#20. The state-of-the-art (SOTA) deep learning models in computer ...

Training scripts to reproduce SOTA results reported in research papers ... Object Detection: detect multiple objects with their

#21. 1 stage Detection SOTA - M2Det 정리 - 성장하는 나날들

M2Det 2독. Beyond scale variation, appearance-complexity variation should be considered too for the object detection task, due to that the ...

#22. Implementation of YOLOv4 Algorithm for Multiple Object ...

One of the major applications of deep learning is object detection. YOLO a SOTA object detector considered to be a smart convolutional ...

#23. Object Detection: YOLO, MobileNetv3 and EfficientDet

Object Detection models: EfficientDet (SOTA), MobileNetv3 and YOLO using OpenCV and TensorFlow. Object Detection: YOLO, MobileNetv3 and EfficientDet Object ...

#24. 【SOTA】AIST: Satellite Imagery Object Detection | SIGNATE

【SOTA】AIST: Satellite Imagery Object Detection. Detect the presense of golf course using satellite imagery data. National Institute of Advanced Industrial ...

#25. Performance comparison (the best performance) of SOTA data ...

Most salient object detection approaches use U-Net or feature pyramid networks (FPN) as their basic structures. These methods ignore two key problems when the ...

#26. Augmentation for small object detection github

Learning Data Augmentation Strategies for Object Detection. ... Various COCO pretrained SOTA Object detection (OD) models like YOLO v5, CenterNet etc.

#27. 侠吧

https://paperswithcode.com/sota/object-detection-o wateryessence - 侠吧.

#28. Data Science by ODS.ai – Telegram

​​Object detection SOTA evolution over time. #SOTA #CNN #objectdetection. 6.9K viewsedited 00:37.

#29. Density-Based Object Detection: Learning Bounding Boxes ...

In multi-object detection using neural networks, most methods train a network ... The proposed method is superior to some SOTA detectors in both AP and FPS.

#30. Object Detection and Tracking in 2020 | by Borijan Georgievski

Object detection has been around for quite a while; the traditional computer vision methods for object detection appeared in the late 90s. These ...

#31. Object Detection 분야 11월20일 State-of-the-art(SOTA) 달성 ...

EfficientDet : Object Detection 분야 11월20일 State-of-the-art(SOTA) 달성 논문 성능도 우수하면서 기존 대비 연산 효율이 압도적으로 좋아 ...

#32. A collection of SOTA Image Classification Models in PyTorch

Intended for easy to use and integrate SOTA image classification models into object detection, semantic segmentation, pose estimation, etc.

#33. Object detection task - nuScenes

An overview of the object detection task in the nuScenes dataset. ... The nuScenes detection evaluation server is open all year round for submission.

#34. An Evaluation of Deep Learning Methods for Small Object ...

Small object detection is an interesting topic in computer vision. With the rapid development in deep learning, it has drawn attention of ...

#35. Top 8 Algorithms For Object Detection - Analytics India ...

Top 8 Algorithms For Object Detection · 1| Fast R-CNN · 2| Faster R-CNN · 3| Histogram of Oriented Gradients (HOG) · 4| Region-based Convolutional ...

#36. 7. Fine-tuning SOTA video models on your own dataset

This is a video action recognition tutorial using Gluon CV toolkit, a step-by-step example. The readers should have basic knowledge of deep learning and ...

#37. MOT Challenge

Multiple Object Tracking: Datasets, Benchmarks, Challenges and more. ... evaluation of numerous tasks including object detection, pedestrian detection, ...

#38. Latest Trends in Object Detection: From CornerNet ... - OpenCV

Object detection methods published recently have pushed the state of the art (SOTA) on a popular benchmark – MS COCO dataset.

#39. Image Segmentation in 2021: Architectures, Losses, Datasets ...

Common Objects in COntext — Coco Dataset. COCO is a large-scale object detection, segmentation, and captioning dataset. The dataset contains 91 classes. It has ...

#40. 딥러닝 분야별 State-of-the-art (SOTA) 브라우저 - Deep Play

딥러닝 분야별 State-of-the-art (SOTA) 브라우저 딥러닝 분야 (Image Classification, Semantic Segmentation, Object Detection, Medical 등) 별 ...

#41. A 2021 guide to Semantic Segmentation - Nanonets

In object detection we come further a step and try to know along with ... This architecture achieved SOTA results on CamVid and Cityscapes ...

#42. Multi-Scale Positive Sample Refinement for Few-Shot Object ...

Few-shot object detection (FSOD) helps detectors adapt to unseen classes with few training ... For fair quantitative comparison with state of the art (SOTA).

#43. [Feature Decoration]Point Cloud Based 3D Object Detection ...

This report include baseline replication of different SOTA lidar object detection algorithms from OpenPCDet repo. Made by Jie Li using Weights & Biases.

#44. End-to-End Semi-Supervised Object Detection with Soft Teacher

2021 目标检测知识蒸馏SOTA：End-to-End Semi-Supervised Object Detection with Soft Teacher. BIT可达鸭 2021-10-23 10:18:04 708 收藏 1.

#45. Video dataset for object detection - 3 Blind Men

The BDD100K dataset can be used for 2D & 3D object detection, ... Various COCO pretrained SOTA Object detection (OD) models like YOLO v5, CenterNet etc.

#46. Yolo transformer

For pretrained YOLO-v4 object detection models such as YOLOv4-coco and ... And the current Transformer based detectors [9] push the accuracy-SOTA to ∼60 AP ...

#47. CGP Box: An effective direction representation strategy for ...

oriented object detection in remote sensing images. Qiuyu Guan a, Zhenshen Qua, Ming Zenga ... of-the-Art (SOTA) algorithms. 2. Related work.

#48. Quoc Le on Twitter: "We opensourced AutoAugment strategy ...

We present AutoAugment for object detection, achieving SOTA on COCO validation set (50.7 mAP). Policy transfers to different models ...

#49. zuixinsota

最新sota(来自paperwithcode) ; img, KITTI Cars Easy · Patches · Patch Refinement -- Localized 3D Object Detection ; img, CrowdHuman (full body) · IterDet (Faster ...

#50. VinVL: Advancing the state of the art for vision-language models

The CNN-based object detection model trained on the Visual Genome (VG) ... often outperforming previous SoTA models by a significantly large ...

#51. Tackling the Small Object Problem in Object Detection

Detecting small objects is one of the most challenging and important problems in computer vision. In this post, we will discuss some of the ...

#52. Lesson 6 - Object Detection | walkwithfastai

Object Detection. Finding the localized area in which an object presides from two points, the bottom left and top right. from fastai.vision.all import *.

#53. torchvision.models - PyTorch

... image classification, pixelwise semantic segmentation, object detection, instance segmentation, person keypoint detection and video classification.

#54. Shared results from collaborative experiments - cKnowledge.io

# System Performance (Single Stream) in milliseconds #1 HP Z640 G1X62EA workstation (velociti) 20.32 #2 HP Z640 G1X62EA workstation (velociti) 21.48 #4 HP Z640 G1X62EA workstation (velociti) 21.99

#55. New State-of-the-art in Logo Detection Using YOLOv3 and ...

Using the the Logos32Plus dataset [12] and a YOLOv3-Darknet object localization pipeline [18], we achieve new SOTA recall (97.71%), F1 (97.76%) ...

#56. Tensorflow Object Detection with Tensorflow 2 - Gilbert Tanner

Learn how to use the Tensorflow Object Detection API with ... Points paper and EfficientDet – a recent family of SOTA models discovered with ...

#57. SotA AI - Coggle

SotA AI (Static neurons, Machine Learning topics, Spiking neurons, ... Focal Loss for Dense Object Detection (PDF) (2017) (GitHub another author).

#58. SOTA One-Shot Tracker for Multi-Object Tracking | LaptrinhX

Tracking by detection paradigm breaks down MOT into the following steps: Object Detector for target localization; Appearance Model to extract ...

#59. Universal-Scaleの物体検出ベンチマーク | AI-SCHOLAR

... と呼ばれる高速で正確なオブジェクト検出器は、いくつかのベンチマークでSOTAを獲得USB: Universal-Scale Object Detection Benchmarkwritten by ...

#60. When, Where and How to Use Anchor Boxes for Deep Learning

After grasping these concepts, the leap to understanding state-of-the-art (SOTA) object detection can often become daunting and obscure, ...

#61. Depth-Quality-Aware Salient Object Detection - PubMed

The existing fusion-based RGB-D salient object detection methods ... Compared to the SOTA bistream methods, the major advantage of our ...

#62. Open Datasets For Deep Learning - Analytics Vidhya

COCO is a large-scale and rich for object detection, segmentation and ... SOTA : Resnet 101 image classification model (trained on V2 data): ...

#63. EfficientDet: Scalable and Efficient Object Detection - 솔라리스 ...

이는 구글 브레인팀에서 제안한 Image Classification 문제영역에 대해 state-of-the-art(SOTA) 성능을 보여준 EfficientNet: Rethinking Model Scaling ...

#64. sota Topic - Giters

sota. There are 2 repositories under sota topic. ... SOTA Re-identification Methods and Toolbox ... sku110ksotaobject-detection.

#65. Oriented Object Detection with Transformer,arXiv - CS

Object detection with Transformers (DETR) has achieved a ... and achieve a competitive performance over SOTA in the DOTA dataset. 中文翻译： ...

#66. Sota Point Cloud

It covers major tasks in 3D point cloud analysis, including 3D shape classification, 3D object detection, and 3D point cloud segmentation.

#67. Unsupervised Domain Adaptation for Object Detection via ...

works for object detectors [1, 13, 7, 11] use adversar- ... achieving the new SOTA detection adaptation performance. 2. Methodology.

#68. Shared results from collaborative experiments

SOTA : COCO test-dev (object detection) [computer vision] in the open CK format. result:sota_coco_test-dev-object_detection-computer_vision (v1.0.0) ...

#69. 全網第一SoTA成績卻樸實無華的PyTorch版EfficientDet

https://paperswithcode.com/sota/object-detection-on-coco-minival. 屠榜. 前五名裡面包攬了四名，可以說是“壟斷”了。 那大家就好奇了，那麼SoTA的 ...

#70. Dynamic refinement network for oriented and densely packed ...

This network is similar to the Faster-RCNN object detection network. ... MOT SOTA, CenterNet, video based object detection] Coarse-Fine Networks for ...

#71. A Highly Efficient Model to Study the Semantics of Salient ...

Highly Efficient Salient Object Detection with100K Parameters. ... of large models, and performs on par with SOTA on popular SOD benchmarks.

#72. pytorch object detection - Kernel

See above DeepLabV3 ResNet101 Object detection Faster R-CNN ResNet-50 ... have some tricks how to reach the 70% mAP that is SOTA using this architecture?

#73. ICCV 2019 Tutorial: Everything You Need to Know to ...

ICCV 2019 Tutorial: Everything You Need to Know to Reproduce SOTA Deep Learning ... 9:30-10:00, Bag of Freebies for Object Detectors (SSD, ...

#74. Forums - CodaLab -

Do we have to use a SOTA object detection or just GT to crop image? as the title. Posted by: allen_vision @ May 7, 2020, 3:39 a.m.. Post in this thread.

#75. Object Detection with No Data Thanks to Template Matching

Today, state-of-the-art object detection algorithms (algorithms aiming to detect objects in pictures) are using neural networks such as Yolov4.

#76. Object Detection - Samsung Software Membership

Object Detection Computer Vision(컴퓨터 비전)이란 컴퓨터 공학의 관점에서 ... (예를 들어, Pascal VOC dataset에 대해 현재 SOTA를 달성하고 있는 ...

#77. 無人駕駛SOTA代碼 - 壹讀

PointPillars traveller59/second.pytorch - SOTA for Birds Eye View Object Detection on KITTI Cyclists Moderate 研究機構: nuTonomy（安波福下的 ...

#78. Train object detection model from scratch - WallpapHD

train object detection model from scratch This includes a set of pre training models trained on coco dataset, ... Here is a good comparison of SOTA models.

#79. 2d lidar object detection github

The performance of BirdGAN on 3D object detection has the SOTA. Advisor: Dahua Lin Focus: Real-time 3D object detection in autonomous driving 3D object ...

#80. What is mlperf - Instituto Castelo Branco

... portable CK solution: docs Reproduced paper: MLPerf Inference Benchmark Reproduced SOTA results (crowd-benchmarking): sota-mlperf-object-detection-v0.

#81. Review paper on computer vision - hotelmayerdan.com

The first step of the detection process is to detect an object which is in motion. ... This work presented a new SOTA for Image Generation on ImageNet and ...

#82. Pointnet implementation

Attentional pointnet for 3d-object detection in point clouds. ... What is the SOTA in this space? I'm specifically looking for papers that: Have ...

#83. Yolov5 vs yolov3 - jasneLED.pl

0 License) is very powerful for object detection YOLO, or You Only Look ... It's insane how quickly SOTA for object detection is advancing.

#84. Coco panoptic segmentation - vegavende.com

Our MaskFormer acheives new SOTA on both semantic (55. ... COCO is a large-scale object detection, segmentation, and captioning datasetself.

#85. Mmdetection mosaic

3 A fast accurate fine-grain object detection model based on YOLOv4 deep neural ... GridMask：SOTA 数据增广方法，显著改进分类、检测、分割效果. et al.

#86. Yolo on arduino - Ministry Kit

YOLOv3, the latest variant of the object detection algorithm, ... Understand the State-of-the-Art architectures (SOTA) for Object Detection.

#87. Cnn model deployment - almomin.com.pk

Keywords: Adversarial attack Object detection Faster R-CNN 1 Introduction ... all kinds of the state of the art (SOTA) results, to Computer Vision tasks.

#88. Yolo on arduino

YOLO (You Only Look Once) is a method / way to do object detection. ... Understand the State-of-the-Art architectures (SOTA) for Object Detection. 2 16 50.

#89. Towards robust vision transformer

4 Code and pretrained models for Swin Transformer (object detection, ... in computer vision achieving state-of-the-art (SOTA) standard accuracy with …

#90. Yolox vs yolor - Formation sage femme

更是刷新了之前的SOTA ScaledYoloV4的最高纪录！ 以下是具体对比效果！ 最直观的方式对比YoloV5和YoloX 一起来看效果吧One-Stage Object Detection Models refer to a ...

#91. Svhn dataset kaggle

svhn dataset kaggle I have tried to achieve the SoTA performance on this dataset ... used for developing machine learning and object recognition algorithms.

#92. Pointrcnn

Pointrcnn: 3d object proposal generation and detection from point cloud. ... (SOTA for 3D object detection) CVPR 2019; MV3D: Multi-View 3D Object Detection ...

#93. Torchvision detection - Metll

TorchVision Object Detection Tutorial: Object detection is a computer ... to a large repertoire of SOTA models. mask_rcnn import MaskRCNNPredictor def ...

#94. Pose estimation deep learning github - EcoWebSolution

State-of-the-art (SOTA) object pose estimators take a two-stage approach, ... Human Lower-Body Pose Detector for images and videos, based on AlphaPose.

#95. Multi object tracking pytorch

The detections generated by YOLOv5, a family of object detection ... In this project, I compare two SOTA Multi-Object Tracking (MOT) algorithms: (a) ...

#96. Head pose estimation pytorch - Shanti Eyewear

These object detection has been develop to help solve many problem such as ... the head pose estimation(yaw,roll,pitch) with SOTA performance in real time.

#97. Object detection - Wikipedia

Object detection is a computer technology related to computer vision and image processing that deals with detecting instances of semantic objects of a ...

#98. Yolo person detection github

For this, I'll be using YOLOv3 object detector to detect objects in an image. ... Various COCO pretrained SOTA Object detection (OD) models like YOLO v5, ...

#99. Mots multi object tracking and segmentation

3 ms of latency for object detection for vehicles will be reachable once the ... using SfM SOTA recognition algorithms for automatically mining training ...