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 1876–1900 of 2042 papers

Title	Date	Tasks	Status	Hype
Generalized Adaptive Dictionary Learning via Domain Shift Minimization	Oct 31, 2014	ClassificationDictionary Learning	—Unverified	0
A hierarchical framework for object recognition	Oct 28, 2014	ObjectObject Recognition	—Unverified	0
Learning visual biases from human imagination	Oct 17, 2014	Object Recognition	—Unverified	0
Efficient Image Categorization with Sparse Fisher Vector	Oct 15, 2014	Image CategorizationObject Recognition	—Unverified	0
Zero-Shot Object Recognition System based on Topic Model	Oct 14, 2014	AttributeGeneral Classification	—Unverified	0
HD-CNN: Hierarchical Deep Convolutional Neural Network for Large Scale Visual Recognition	Oct 3, 2014	image-classificationImage Classification	CodeCode Available	0
Learning Image Embeddings using Convolutional Neural Networks for Improved Multi-Modal Semantics	Oct 1, 2014	Object RecognitionTransfer Learning	—Unverified	0
1-HKUST: Object Detection in ILSVRC 2014	Sep 22, 2014	Objectobject-detection	—Unverified	0
Domain Adaptive Neural Networks for Object Recognition	Sep 21, 2014	DenoisingDomain Adaptation	—Unverified	0
Going Deeper with Convolutions	Sep 17, 2014	General ClassificationImage Classification	CodeCode Available	1
Transferring Landmark Annotations for Cross-Dataset Face Alignment	Sep 2, 2014	Face AlignmentObject Recognition	—Unverified	0
ImageNet Large Scale Visual Recognition Challenge	Sep 1, 2014	General Classificationimage-classification	CodeCode Available	1
Learning Multi-Scale Representations for Material Classification	Aug 13, 2014	ClassificationGeneral Classification	—Unverified	0
Coloring Objects: Adjective-Noun Visual Semantic Compositionality	Aug 1, 2014	Image RetrievalObject Recognition	—Unverified	0
A Poodle or a Dog? Evaluating Automatic Image Annotation Using Human Descriptions at Different Levels of Granularity	Aug 1, 2014	Object Recognition	—Unverified	0
See No Evil, Say No Evil: Description Generation from Densely Labeled Images	Aug 1, 2014	Activity RecognitionObject Recognition	—Unverified	0
Non-parametric Image Registration of Airborne LiDAR, Hyperspectral and Photographic Imagery of Forests	Jul 28, 2014	Image RegistrationObject Recognition	—Unverified	0
Object Proposal Generation using Two-Stage Cascade SVMs	Jul 20, 2014	Computational EfficiencyObject	—Unverified	0
Pixels to Voxels: Modeling Visual Representation in the Human Brain	Jul 18, 2014	BIG-bench Machine LearningObject Recognition	—Unverified	0
What you need to know about the state-of-the-art computational models of object-vision: A tour through the models	Jul 10, 2014	Object Recognition	—Unverified	0
Analyzing the Performance of Multilayer Neural Networks for Object Recognition	Jul 7, 2014	Object Recognition	—Unverified	0
Multiple Moving Object Recognitions in video based on Log Gabor-PCA Approach	Jul 3, 2014	ObjectObject Recognition	—Unverified	0
Face Identification with Second-Order Pooling	Jun 26, 2014	Face IdentificationFace Recognition	—Unverified	0
3D ShapeNets: A Deep Representation for Volumetric Shapes	Jun 22, 2014	3D Point Cloud Classification3D Shape Representation	CodeCode Available	1
Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition	Jun 18, 2014	General Classificationimage-classification	CodeCode Available	0

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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