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 1901–1925 of 2042 papers

Title	Date	Tasks	Status	Hype
Deep Neural Networks Rival the Representation of Primate IT Cortex for Core Visual Object Recognition	Jun 12, 2014	ObjectObject Recognition	—Unverified	0
Human vs. Computer in Scene and Object Recognition	Jun 1, 2014	ObjectObject Recognition	—Unverified	0
Speech recognition in Alzheimer's disease with personal assistive robots	Jun 1, 2014	Object Recognitionspeech-recognition	—Unverified	0
Discriminative Ferns Ensemble for Hand Pose Recognition	Jun 1, 2014	ClassificationGeneral Classification	—Unverified	0
Hierarchical Feature Hashing for Fast Dimensionality Reduction	Jun 1, 2014	ClassificationDimensionality Reduction	—Unverified	0
Domain Adaptation on the Statistical Manifold	Jun 1, 2014	Domain AdaptationObject Recognition	—Unverified	0
Occlusion Coherence: Localizing Occluded Faces with a Hierarchical Deformable Part Model	Jun 1, 2014	Face DetectionObject Recognition	—Unverified	0
Analysis by Synthesis: 3D Object Recognition by Object Reconstruction	Jun 1, 2014	3D Object RecognitionObject	—Unverified	0
Recognizing RGB Images by Learning from RGB-D Data	Jun 1, 2014	Domain AdaptationObject Recognition	—Unverified	0
Parsing Occluded People	Jun 1, 2014	DiversityObject Recognition	—Unverified	0
Adaptive Color Attributes for Real-Time Visual Tracking	Jun 1, 2014	AttributeImage Description	—Unverified	0
Histograms of Pattern Sets for Image Classification and Object Recognition	Jun 1, 2014	BinarizationGeneral Classification	—Unverified	0
RIGOR: Reusing Inference in Graph Cuts for Generating Object Regions	Jun 1, 2014	Object RecognitionSegmentation	—Unverified	0
Submodular Object Recognition	Jun 1, 2014	ObjectObject Recognition	—Unverified	0
Anytime Recognition of Objects and Scenes	Jun 1, 2014	General ClassificationObject Recognition	—Unverified	0
Persistence-based Structural Recognition	Jun 1, 2014	3D Shape Classification3D Shape Retrieval	—Unverified	0
Learning Scalable Discriminative Dictionary with Sample Relatedness	Jun 1, 2014	Dictionary LearningImage Retrieval	—Unverified	0
Three Guidelines of Online Learning for Large-Scale Visual Recognition	Jun 1, 2014	Document ClassificationGeneral Classification	—Unverified	0
Learning Receptive Fields for Pooling from Tensors of Feature Response	Jun 1, 2014	ClassificationGeneral Classification	—Unverified	0
Merging SVMs with Linear Discriminant Analysis: A Combined Model	Jun 1, 2014	Dimensionality ReductionObject Recognition	—Unverified	0
Learning and Transferring Mid-Level Image Representations using Convolutional Neural Networks	Jun 1, 2014	Action ClassificationAction Localization	—Unverified	0
Combined Approach for Image Segmentation	May 31, 2014	ClusteringDenoising	—Unverified	0
Detection Bank: An Object Detection Based Video Representation for Multimedia Event Recognition	May 28, 2014	Event DetectionObject	—Unverified	0
Single camera pose estimation using Bayesian filtering and Kinect motion priors	May 20, 2014	2D Pose EstimationCamera Pose Estimation	CodeCode Available	0
Microsoft COCO: Common Objects in Context	May 1, 2014	Instance SegmentationObject	CodeCode Available	1

Show:10 25 50

← PrevPage 77 of 82Next →

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