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 841–850 of 2042 papers

Title	Date	Tasks	Status	Hype
DIRL: Domain-Invariant Representation Learning for Sim-to-Real Transfer	Nov 15, 2020	Object RecognitionRepresentation Learning	—Unverified	0
RAMP-CNN: A Novel Neural Network for Enhanced Automotive Radar Object Recognition	Nov 13, 2020	object-detectionObject Detection	CodeCode Available	1
Transformer-Encoder Detector Module: Using Context to Improve Robustness to Adversarial Attacks on Object Detection	Nov 13, 2020	Objectobject-detection	—Unverified	0
I-POST: Intelligent Point of Sale and Transaction System	Nov 12, 2020	Objectobject-detection	—Unverified	0
Adding Knowledge to Unsupervised Algorithms for the Recognition of Intent	Nov 12, 2020	3D Object ReconstructionObject Recognition	CodeCode Available	0
Transferred Fusion Learning using Skipped Networks	Nov 11, 2020	Object RecognitionTransfer Learning	—Unverified	0
Out-of-Distribution Detection for Automotive Perception	Nov 3, 2020	Autonomous DrivingObject Recognition	—Unverified	0
On Numerosity of Deep Neural Networks	Nov 1, 2020	Object Recognition	—Unverified	0
A Study of Image Pre-processing for Faster Object Recognition	Oct 31, 2020	ClassificationGeneral Classification	—Unverified	0
On the Performance of Convolutional Neural Networks under High and Low Frequency Information	Oct 30, 2020	Data AugmentationFace Recognition	—Unverified	0

Show:10 25 50

← PrevPage 85 of 205Next →

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