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 351–360 of 2042 papers

Title	Date	Tasks	Status	Hype
Human Action Recognition in Still Images Using ConViT	Jul 18, 2023	Action RecognitionAction Recognition In Still Images	—Unverified	0
A Novel Explainable Artificial Intelligence Model in Image Classification problem	Jul 9, 2023	Explainable artificial intelligenceimage-classification	—Unverified	0
Self-supervised Optimization of Hand Pose Estimation using Anatomical Features and Iterative Learning	Jul 6, 2023	Activity RecognitionHand Pose Estimation	—Unverified	0
Object Recognition System on a Tactile Device for Visually Impaired	Jul 5, 2023	object-detectionObject Detection	—Unverified	0
Predicting beauty, liking, and aesthetic quality: A comparative analysis of image databases for visual aesthetics research	Jul 3, 2023	Object Recognition	—Unverified	0
Look, Remember and Reason: Grounded reasoning in videos with language models	Jun 30, 2023	Objectobject-detection	—Unverified	0
Evaluation of Environmental Conditions on Object Detection using Oriented Bounding Boxes for AR Applications	Jun 29, 2023	object-detectionObject Detection	—Unverified	0
Fine-grained 3D object recognition: an approach and experiments	Jun 28, 2023	3D Object RecognitionAutonomous Driving	—Unverified	0
Towards Language Models That Can See: Computer Vision Through the LENS of Natural Language	Jun 28, 2023	DescriptiveLanguage Modeling	CodeCode Available	2
Regulation of Mouse Learning and Mood by the Anti-Inflammatory Cytokine Interleukin-10	Jun 26, 2023	Object Recognition	—Unverified	0

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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