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 1001–1010 of 2042 papers

Title	Date	Tasks	Status
EventDance++: Language-guided Unsupervised Source-free Cross-modal Adaptation for Event-based Object Recognition	Sep 19, 2024	Object Recognition	—Unverified
Information Mandala: Statistical Distance Matrix with Clustering	Jun 7, 2020	ClusteringObject Recognition	—Unverified
Collaboration Analysis Using Deep Learning	Apr 17, 2019	AnatomyDeep Learning	—Unverified
InsCon:Instance Consistency Feature Representation via Self-Supervised Learning	Mar 15, 2022	Contrastive Learningimage-classification	—Unverified
Insights From A Large-Scale Database of Material Depictions In Paintings	Nov 24, 2020	Domain AdaptationInteractive Segmentation	—Unverified
In Silico Modelling of Neurodegeneration Using Deep Convolutional Neural Networks	Oct 12, 2021	Object Recognition	—Unverified
Approximate Log-Hilbert-Schmidt Distances Between Covariance Operators for Image Classification	Jun 1, 2016	General Classificationimage-classification	—Unverified
Afford-X: Generalizable and Slim Affordance Reasoning for Task-oriented Manipulation	Mar 5, 2025	ObjectObject Recognition	—Unverified
EvConv: Fast CNN Inference on Event Camera Inputs For High-Speed Robot Perception	Mar 8, 2023	Depth EstimationObject Recognition	—Unverified
Evaluation of Environmental Conditions on Object Detection using Oriented Bounding Boxes for AR Applications	Jun 29, 2023	object-detectionObject Detection	—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