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 891–900 of 2042 papers

Title	Date	Tasks	Status
HeteroEdge: Addressing Asymmetry in Heterogeneous Collaborative Autonomous Systems	May 5, 2023	CPUGPU	—Unverified
HFirst: A Temporal Approach to Object Recognition	Aug 5, 2015	ObjectObject Recognition	—Unverified
3D Object Recognition with Deep Belief Nets	Dec 1, 2009	3D Object RecognitionObject	—Unverified
Exploiting an Oracle that Reports AUC Scores in Machine Learning Contests	Jun 3, 2015	BIG-bench Machine LearningBinary Classification	—Unverified
Open-Ended Fine-Grained 3D Object Categorization by Combining Shape and Texture Features in Multiple Colorspaces	Sep 19, 2020	3D Object RecognitionDescriptive	—Unverified
Hierarchical Deep Learning Architecture For 10K Objects Classification	Sep 7, 2015	ClassificationDeep Learning	—Unverified
Exploit Bounding Box Annotations for Multi-label Object Recognition	Apr 22, 2015	Multi-Label ClassificationObject	—Unverified
Hierarchically Compositional Tasks and Deep Convolutional Networks	Jun 24, 2020	Object Recognition	—Unverified
Hierarchical Modular Optimization of Convolutional Networks Achieves Representations Similar to Macaque IT and Human Ventral Stream	Dec 1, 2013	ObjectObject Recognition	—Unverified
Explicitly Modeling Subcortical Vision with a Neuro-Inspired Front-End Improves CNN Robustness	Jun 3, 2025	Data AugmentationObject Recognition	—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