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 1471–1480 of 2042 papers

Title	Date	Tasks	Status
Modeling the Sequence of Brain Volumes by Local Mesh Models for Brain Decoding	Mar 3, 2016	Brain DecodingObject Recognition	—Unverified
Modelling Local Deep Convolutional Neural Network Features to Improve Fine-Grained Image Classification	Feb 27, 2015	Fine-Grained Image ClassificationGeneral Classification	—Unverified
Modelling of LIDAR sensor disturbances by solid airborne particles	May 10, 2021	object-detectionObject Detection	—Unverified
Monocular SLAM Supported Object Recognition	Jun 4, 2015	ObjectObject Recognition	—Unverified
MonoStream: A Minimal-Hardware High Accuracy Device-free WLAN Localization System	Aug 4, 2013	Object RecognitionVocal Bursts Intensity Prediction	—Unverified
More Than Accuracy: Towards Trustworthy Machine Learning Interfaces for Object Recognition	Aug 5, 2020	BIG-bench Machine LearningObject Recognition	—Unverified
More Words and Bigger Pictures	Jun 1, 2013	Object Recognition	—Unverified
MOR-UAV: A Benchmark Dataset and Baselines for Moving Object Recognition in UAV Videos	Aug 4, 2020	Objectobject-detection	—Unverified
Motion Equivariance OF Event-based Camera Data with the Temporal Normalization Transform	Nov 28, 2019	Object Recognition	—Unverified
Motion Mapping Cognition: A Nondecomposable Primary Process in Human Vision	Feb 2, 2024	Image SegmentationObject 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