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 981–990 of 2042 papers

Title	Date	Tasks	Status
Improving neural networks with bunches of neurons modeled by Kumaraswamy units: Preliminary study	May 11, 2015	Object Recognitionspeech-recognition	—Unverified
Improving Performance of Object Detection using the Mechanisms of Visual Recognition in Humans	Jan 23, 2023	Objectobject-detection	—Unverified
Boosting Object Recognition in Point Clouds by Saliency Detection	Nov 6, 2019	Object RecognitionSaliency Detection	—Unverified
ADLDA: A Method to Reduce the Harm of Data Distribution Shift in Data Augmentation	May 11, 2024	Data AugmentationDomain Adaptation	—Unverified
Improving Robustness of Feature Representations to Image Deformations using Powered Convolution in CNNs	Jul 25, 2017	object-detectionObject Detection	—Unverified
Deep Learning for Material recognition: most recent advances and open challenges	Dec 14, 2020	Deep LearningMaterial Recognition	—Unverified
Improving the Accuracy and Robustness of CNNs Using a Deep CCA Neural Data Regularizer	Sep 6, 2022	Object Recognition	—Unverified
Deep Learning for the Classification of Lung Nodules	Nov 21, 2016	BIG-bench Machine LearningClassification	—Unverified
Insights From A Large-Scale Database of Material Depictions In Paintings	Nov 24, 2020	Domain AdaptationInteractive Segmentation	—Unverified
Boosting Gradient for White-Box Adversarial Attacks	Oct 21, 2020	Blockingimage-classification	—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