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 401–410 of 2042 papers

Title	Date	Tasks	Status
A Comprehensive Study of ImageNet Pre-Training for Historical Document Image Analysis	May 22, 2019	General ClassificationImage Classification	—Unverified
Active Perception using Light Curtains for Autonomous Driving	Aug 5, 2020	3D Object RecognitionAutonomous Driving	—Unverified
Contextual Recurrent Convolutional Model for Robust Visual Learning	May 1, 2019	Fine-Grained Image ClassificationGeneral Classification	—Unverified
Artistic Object Recognition by Unsupervised Style Adaptation	Dec 28, 2018	Domain AdaptationObject	—Unverified
Continual Hyperbolic Learning of Instances and Classes	Jun 12, 2025	Continual LearningObject Recognition	—Unverified
Continual-Learning-as-a-Service (CLaaS): On-Demand Efficient Adaptation of Predictive Models	Jun 14, 2022	AttributeBIG-bench Machine Learning	—Unverified
Co-Attentive Equivariant Neural Networks: Focusing Equivariance On Transformations Co-Occurring In Data	Nov 18, 2019	Object RecognitionRotated MNIST	—Unverified
Continual Learning for Pose-Agnostic Object Recognition in 3D Point Clouds	Sep 11, 2022	Continual LearningObject Recognition	—Unverified
Artwork Recognition for Panorama Images Based on Optimized ASIFT and Cubic Projection	Feb 1, 2018	Object Recognition	—Unverified
Application of Faster R-CNN model on Human Running Pattern Recognition	Nov 13, 2018	Object Recognition	—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