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 1431–1440 of 2042 papers

Title	Date	Tasks	Status
LSD-Net: Look, Step and Detect for Joint Navigation and Multi-View Recognition with Deep Reinforcement Learning	Jan 1, 2018	Deep Reinforcement LearningGeneral Classification	—Unverified
Machine Learning and Big Scientific Data	Oct 12, 2019	BIG-bench Machine LearningDeep Learning	—Unverified
Machine Learning Computer Vision Applications for Spatial AI Object Recognition in Orange County, California	Mar 14, 2023	ObjectObject Recognition	—Unverified
Machine learning with limited data	Jan 18, 2021	BIG-bench Machine LearningCross-Domain Few-Shot	—Unverified
Mapping High-level Semantic Regions in Indoor Environments without Object Recognition	Mar 11, 2024	Graph GenerationLanguage Modeling	—Unverified
Mask2CAD: 3D Shape Prediction by Learning to Segment and Retrieve	Jul 26, 2020	Image to 3DObject	—Unverified
Matching objects across the textured-smooth continuum	Jun 14, 2013	3D Object RecognitionObject	—Unverified
Material Classification Using Active Temperature Controllable Robotic Gripper	Nov 30, 2021	ClassificationMaterial Classification	—Unverified
MATT-GS: Masked Attention-based 3DGS for Robot Perception and Object Detection	Mar 25, 2025	3DGSobject-detection	—Unverified
Maximum Likelihood Directed Enumeration Method in Piecewise-Regular Object Recognition	Nov 20, 2014	Face RecognitionObject 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