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 1451–1460 of 2042 papers

Title	Date	Tasks	Status
Meta-neural-network for Realtime and Passive Deep-learning-based Object Recognition	Sep 16, 2019	Handwritten Digit RecognitionObject Recognition	—Unverified
Metric Learning as a Service with Covariance Embedding	Nov 28, 2022	Information RetrievalMetric Learning	—Unverified
MIML-FCN+: Multi-instance Multi-label Learning via Fully Convolutional Networks with Privileged Information	Feb 28, 2017	Image CaptioningMulti-Label Learning	—Unverified
Minimal Adversarial Examples for Deep Learning on 3D Point Clouds	Aug 27, 2020	3D Object RecognitionDeep Learning	—Unverified
Minimal Images in Deep Neural Networks: Fragile Object Recognition in Natural Images	Feb 8, 2019	Object Recognition	—Unverified
MirBot: A collaborative object recognition system for smartphones using convolutional neural networks	Jun 9, 2017	image-classificationImage Classification	—Unverified
Misalignment Resilient Diffractive Optical Networks	May 23, 2020	Object Recognition	—Unverified
Missing Modalities Imputation via Cascaded Residual Autoencoder	Jul 1, 2017	ImputationMissing Values	—Unverified
Mitigating the Hubness Problem for Zero-Shot Learning of 3D Objects	Jul 15, 2019	3D Object RecognitionGeneralized Zero-Shot Learning	—Unverified
MixStyle Neural Networks for Domain Generalization and Adaptation	Jul 5, 2021	Data AugmentationDomain Adaptation	—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