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 921–930 of 2042 papers

Title	Date	Tasks	Status
All-Weather Object Recognition Using Radar and Infrared Sensing	Oct 30, 2020	AllData Augmentation	—Unverified
3D Object Recognition By Corresponding and Quantizing Neural 3D Scene Representations	Oct 30, 2020	3D Object RecognitionObject	—Unverified
Classifying Malware Images with Convolutional Neural Network Models	Oct 30, 2020	ClassificationGeneral Classification	—Unverified
On the Performance of Convolutional Neural Networks under High and Low Frequency Information	Oct 30, 2020	Data AugmentationFace Recognition	—Unverified
WaveTransform: Crafting Adversarial Examples via Input Decomposition	Oct 29, 2020	Adversarial DefenseObject Recognition	—Unverified
An Overview Of 3D Object Detection	Oct 29, 2020	3D Object DetectionObject	—Unverified
Medical Deep Learning -- A systematic Meta-Review	Oct 28, 2020	ArticlesAutonomous Driving	—Unverified
Fit to Measure: Reasoning about Sizes for Robust Object Recognition	Oct 27, 2020	BIG-bench Machine LearningObject	CodeCode Available
Empowering Knowledge Distillation via Open Set Recognition for Robust 3D Point Cloud Classification	Oct 25, 2020	3D Point Cloud ClassificationGeneral Classification	—Unverified
Object-aware Feature Aggregation for Video Object Detection	Oct 23, 2020	Objectobject-detection	—Unverified

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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