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 371–380 of 2042 papers

Title	Date	Tasks	Status
Are Accuracy and Robustness Correlated?	Oct 14, 2016	BIG-bench Machine LearningGeneral Classification	—Unverified
Comparing Data Sources and Architectures for Deep Visual Representation Learning in Semantics	Nov 1, 2016	Image RetrievalInformation Retrieval	—Unverified
A Real-time Junk Food Recognition System based on Machine Learning	Mar 22, 2022	BIG-bench Machine LearningFood Recognition	—Unverified
Comparing object recognition in humans and deep convolutional neural networks -- An eye tracking study	Jul 30, 2021	Object Recognition	—Unverified
Afford-X: Generalizable and Slim Affordance Reasoning for Task-oriented Manipulation	Mar 5, 2025	ObjectObject Recognition	—Unverified
Comparing Photorealism in Game Engines for Synthetic Maritime Computer Vision Datasets	Nov 25, 2024	DiversityObject Recognition	—Unverified
Complete End-To-End Low Cost Solution To a 3D Scanning System with Integrated Turntable	Sep 3, 2017	3D ReconstructionObject Recognition	—Unverified
Complex-valued Iris Recognition Network	Nov 23, 2020	Iris RecognitionObject Recognition	—Unverified
Controlled-rearing studies of newborn chicks and deep neural networks	Dec 12, 2021	ObjectObject Recognition	—Unverified
CogNav: Cognitive Process Modeling for Object Goal Navigation with LLMs	Dec 11, 2024	Large Language ModelObject	—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