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 1901–1910 of 2042 papers

Title	Date	Tasks	Status
Development of Open Informal Dataset Affecting Autonomous Driving	Oct 14, 2020	Autonomous DrivingObject	—Unverified
DeViSE: A Deep Visual-Semantic Embedding Model	Dec 1, 2013	modelObject	—Unverified
D-Feat Occlusions: Diffusion Features for Robustness to Partial Visual Occlusions in Object Recognition	Apr 8, 2025	Image GenerationObject	—Unverified
Dimensionality Reduction for Data in Multiple Feature Representations	Dec 1, 2008	ClusteringDimensionality Reduction	—Unverified
DipMe: Haptic Recognition of Granular Media for Tangible Interactive Applications	Nov 13, 2024	Object Recognition	—Unverified
Direct Object Recognition Without Line-of-Sight Using Optical Coherence	Mar 18, 2019	ObjectObject Recognition	—Unverified
Disaggregated Deep Learning via In-Physics Computing at Radio Frequency	Apr 24, 2025	Autonomous NavigationDeep Learning	—Unverified
Discovering Novel Actions from Open World Egocentric Videos with Object-Grounded Visual Commonsense Reasoning	May 26, 2023	Object RecognitionVisual Commonsense Reasoning	—Unverified
Discrete Potts Model for Generating Superpixels on Noisy Images	Mar 20, 2018	DenoisingObject Recognition	—Unverified
Discriminate-and-Rectify Encoders: Learning from Image Transformation Sets	Mar 14, 2017	Face VerificationObject 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