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 861–870 of 2042 papers

Title	Date	Tasks	Status
Exploiting Temporal Relations on Radar Perception for Autonomous Driving	Apr 3, 2022	2D Object DetectionAutonomous Driving	—Unverified
Graph-Based High-Order Relation Discovery for Fine-Grained Recognition	Jun 19, 2021	Fine-Grained Image ClassificationObject Recognition	—Unverified
Exploiting Spatio-Temporal Structure with Recurrent Winner-Take-All Networks	Oct 31, 2016	AllObject Recognition	—Unverified
GFCN: A New Graph Convolutional Network Based on Parallel Flows	Feb 25, 2019	General Classificationimage-classification	—Unverified
Label Efficient Regularization and Propagation for Graph Node Classification	Apr 19, 2022	AttributeBenchmarking	—Unverified
Graphical Gaussian Vector for Image Categorization	Dec 1, 2012	Image CategorizationObject Recognition	—Unverified
GraspCaps: A Capsule Network Approach for Familiar 6DoF Object Grasping	Oct 7, 2022	ObjectObject Recognition	—Unverified
Exploiting Linear Structure Within Convolutional Networks for Efficient Evaluation	Apr 2, 2014	CPUGPU	—Unverified
Grassmannian learning mutual subspace method for image set recognition	Nov 8, 2021	Emotion RecognitionFace Identification	—Unverified
Combining Texture and Shape Cues for Object Recognition With Minimal Supervision	Sep 14, 2016	General ClassificationImage Retrieval	—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