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 601–610 of 2042 papers

Title	Date	Tasks	Status
Reason from Context with Self-supervised Learning	Nov 23, 2022	ObjectObject Recognition	—Unverified
The purpose of qualia: What if human thinking is not (only) information processing?	Nov 22, 2022	Object Recognition	—Unverified
R2-MLP: Round-Roll MLP for Multi-View 3D Object Recognition	Nov 20, 2022	3D Object Recognitionimage-classification	CodeCode Available
Adversarial Detection by Approximation of Ensemble Boundary	Nov 18, 2022	Object Recognition	—Unverified
MultiCrossViT: Multimodal Vision Transformer for Schizophrenia Prediction using Structural MRI and Functional Network Connectivity Data	Nov 12, 2022	Deep Learningimage-classification	—Unverified
Egocentric Audio-Visual Noise Suppression	Nov 7, 2022	Action ClassificationEvent Detection	—Unverified
State-of-the-art Models for Object Detection in Various Fields of Application	Nov 1, 2022	Objectobject-detection	—Unverified
Generating Clear Images From Images With Distortions Caused by Adverse Weather Using Generative Adversarial Networks	Nov 1, 2022	Autonomous DrivingAutonomous Vehicles	—Unverified
Subsidiary Prototype Alignment for Universal Domain Adaptation	Oct 28, 2022	Domain AdaptationObject Recognition	—Unverified
Text2Model: Text-based Model Induction for Zero-shot Image Classification	Oct 27, 2022	3D Point Cloud ClassificationAction 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