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 541–550 of 2042 papers

Title	Date	Tasks	Status	Hype
Efficient Gesture Recognition for the Assistance of Visually Impaired People using Multi-Head Neural Networks	May 14, 2022	Gesture RecognitionObject Recognition	—Unverified	0
Embodied vision for learning object representations	May 12, 2022	Contrastive LearningObject	—Unverified	0
A Computational Acquisition Model for Multimodal Word Categorization	May 12, 2022	Language Acquisitionmodel	CodeCode Available	0
Robustness of Humans and Machines on Object Recognition with Extreme Image Transformations	May 9, 2022	Object Recognition	—Unverified	0
Towards Robust 3D Object Recognition with Dense-to-Sparse Deep Domain Adaptation	May 7, 2022	3D Object RecognitionAutonomous Vehicles	—Unverified	0
Utility-Oriented Underwater Image Quality Assessment Based on Transfer Learning	May 7, 2022	Fish DetectionImage Quality Assessment	—Unverified	0
Lifelong Ensemble Learning based on Multiple Representations for Few-Shot Object Recognition	May 4, 2022	3D Object RecognitionEnsemble Learning	—Unverified	0
Multitask Network for Joint Object Detection, Semantic Segmentation and Human Pose Estimation in Vehicle Occupancy Monitoring	May 3, 2022	Autonomous Drivingobject-detection	—Unverified	0
Causal Transportability for Visual Recognition	Apr 26, 2022	image-classificationImage Classification	CodeCode Available	1
Can domain adaptation make object recognition work for everyone?	Apr 23, 2022	Domain AdaptationObject	—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