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 561–570 of 2042 papers

Title	Date	Tasks	Status
Feature representations useful for predicting image memorability	Mar 14, 2023	Object RecognitionOpen-Ended Question Answering	—Unverified
EvConv: Fast CNN Inference on Event Camera Inputs For High-Speed Robot Perception	Mar 8, 2023	Depth EstimationObject Recognition	—Unverified
Toward a Geometric Theory of Manifold Untangling	Mar 7, 2023	ObjectObject Recognition	—Unverified
Domain-aware Triplet loss in Domain Generalization	Mar 1, 2023	ClusteringDomain Generalization	CodeCode Available
DuEqNet: Dual-Equivariance Network in Outdoor 3D Object Detection for Autonomous Driving	Feb 27, 2023	3D Object DetectionAutonomous Driving	—Unverified
InOR-Net: Incremental 3D Object Recognition Network for Point Cloud Representation	Feb 20, 2023	3D Object RecognitionFairness	—Unverified
Scaling Vision Transformers to 22 Billion Parameters	Feb 10, 2023	Action ClassificationFairness	CodeCode Available
Zero-Knowledge Zero-Shot Learning for Novel Visual Category Discovery	Feb 9, 2023	Generalized Zero-Shot LearningObject Recognition	—Unverified
Convolutional Neural Networks Trained to Identify Words Provide a Surprisingly Good Account of Visual Form Priming Effects	Feb 8, 2023	FormObject Recognition	—Unverified
Dynamic Atomic Column Detection in Transmission Electron Microscopy Videos via Ridge Estimation	Feb 2, 2023	Object 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