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 1551–1560 of 2042 papers

Title	Date	Tasks	Status
AI-based Wearable Vision Assistance System for the Visually Impaired: Integrating Real-Time Object Recognition and Contextual Understanding Using Large Vision-Language Models	Dec 28, 2024	Object RecognitionRaspberry Pi 4	—Unverified
AI-Powered Assistive Technologies for Visual Impairment	Jan 14, 2025	Object Recognitiontext-to-speech	—Unverified
AI-Powered Augmented Reality for Satellite Assembly, Integration and Test	Sep 26, 2024	6D Pose EstimationObject Recognition	—Unverified
AI-Powered GUI Attack and Its Defensive Methods	Jan 26, 2020	Object Recognition	—Unverified
AI Recommendation System for Enhanced Customer Experience: A Novel Image-to-Text Method	Nov 16, 2023	Image to textObject	—Unverified
AIris: An AI-powered Wearable Assistive Device for the Visually Impaired	May 13, 2024	Face RecognitionObject Recognition	—Unverified
Airplane Type Identification Based on Mask RCNN; An Approach to Reduce Airport Traffic Congestion	Aug 25, 2021	ObjectObject Recognition	—Unverified
A Label Correction Algorithm Using Prior Information for Automatic and Accurate Geospatial Object Recognition	Dec 10, 2021	Object Recognition	—Unverified
A large comparison of feature-based approaches for buried target classification in forward-looking ground-penetrating radar	Feb 9, 2017	General ClassificationObject Recognition	—Unverified
ALGO: Object-Grounded Visual Commonsense Reasoning for Open-World Egocentric Action Recognition	Jun 9, 2024	Action 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