Object Recognition

Object recognition is a computer vision technique for detecting + classifying objects in images or videos. Since this is a combined task of object detection plus image classification, the state-of-the-art tables are recorded for each component task here and here.

( Image credit: Tensorflow Object Detection API )

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 681–690 of 2042 papers

Title	Date	Tasks	Status	Hype
Detectron2 Object Detection & Manipulating Images using Cartoonization	Aug 1, 2021	Autonomous VehiclesData Visualization	CodeCode Available	4
Comparing object recognition in humans and deep convolutional neural networks -- An eye tracking study	Jul 30, 2021	Object Recognition	—Unverified	0
To Boost or not to Boost: On the Limits of Boosted Neural Networks	Jul 28, 2021	Object Recognition	—Unverified	0
Language Models as Zero-shot Visual Semantic Learners	Jul 26, 2021	ObjectObject Recognition	—Unverified	0
A 51.3 TOPS/W, 134.4 GOPS In-memory Binary Image Filtering in 65nm CMOS	Jul 25, 2021	DenoisingImage Denoising	—Unverified	0
Deep Machine Learning Based Egyptian Vehicle License Plate Recognition Systems	Jul 24, 2021	BIG-bench Machine LearningDeep Learning	—Unverified	0
Saliency for free: Saliency prediction as a side-effect of object recognition	Jul 20, 2021	Object RecognitionSaliency Prediction	—Unverified	0
Spectral Processing and Optimization of Static and Dynamic 3D Geometries	Jul 15, 2021	3D geometry3D Object Recognition	—Unverified	0
The Foes of Neural Network's Data Efficiency Among Unnecessary Input Dimensions	Jul 13, 2021	Object Recognition	—Unverified	0
Applications of knowledge graphs for food science and industry	Jul 13, 2021	Data Visualizationgraph construction	—Unverified	0

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All datasets shape bias CIFAR10-DVS N-Caltech 101 ObjectNet (All classes)ObjectNet (ImageNet classes)ObjectNet (ImageNet classes, trained on ImageNet)DVS128 Gesture MECCANO N-CARS

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	Imagen	shape bias	98.7	—	Unverified
2	Stable Diffusion	shape bias	92.7	—	Unverified
3	Parti	shape bias	91.7	—	Unverified
4	ViT-22B-384	shape bias	86.4	—	Unverified
5	ViT-22B-560	shape bias	83.8	—	Unverified
6	CLIP (ViT-B)	shape bias	79.9	—	Unverified
7	ViT-22B-224	shape bias	78	—	Unverified
8	ResNet-50 (L2 eps 5.0 adv trained)	shape bias	69.5	—	Unverified
9	ResNet-50 (with strong augmentations)	shape bias	62.2	—	Unverified
10	SWSL (ResNeXt-101)	shape bias	49.8	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Spike-VGG11	Accuracy (% )	85.55	—	Unverified
2	SSNN	Accuracy (% )	78.57	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Spike-VGG11	Accuracy (% )	85.62	—	Unverified
2	SSNN	Accuracy (% )	79.25	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ObjectNet-Baseline	Top 5 Accuracy	18.75	—	Unverified
2	yun	Top 5 Accuracy	14.75	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ObjectNet-Baseline	Top 5 Accuracy	52.24	—	Unverified
2	DY	Top 5 Accuracy	0.08	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ObjectNet-Baseline	Top 5 Accuracy	52.24	—	Unverified
2	AJ2021	Top 5 Accuracy	27.68	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SSNN	Accuracy (% )	94.91	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Faster-RCNN	mAP	30.39	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Spike-VGG11	Accuracy (% )	96	—	Unverified