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 1351–1375 of 2042 papers

Title	Date	Tasks	Status
Active Object Perceiver: Recognition-guided Policy Learning for Object Searching on Mobile Robots	Jul 30, 2018	Deep Reinforcement LearningObject	—Unverified
Semantically Meaningful View Selection	Jul 26, 2018	ClusteringObject	CodeCode Available
Attention Mechanisms for Object Recognition with Event-Based Cameras	Jul 25, 2018	Event-based visionObject Recognition	—Unverified
Human peripheral blur is optimal for object recognition	Jul 23, 2018	ObjectObject Recognition	—Unverified
Big-Little Net: An Efficient Multi-Scale Feature Representation for Visual and Speech Recognition	Jul 10, 2018	ObjectObject Recognition	CodeCode Available
End-to-End Race Driving with Deep Reinforcement Learning	Jul 6, 2018	Deep Reinforcement LearningDomain Adaptation	—Unverified
Kitting in the Wild through Online Domain Adaptation	Jul 3, 2018	Domain AdaptationObject Recognition	—Unverified
`Lighter' Can Still Be Dark: Modeling Comparative Color Descriptions	Jul 1, 2018	Object Recognition	—Unverified
Estimating Bicycle Route Attractivity from Image Data	Jun 27, 2018	Object RecognitionTransfer Learning	—Unverified
Syn2Real: A New Benchmark forSynthetic-to-Real Visual Domain Adaptation	Jun 26, 2018	ClassificationDiversity	—Unverified
A temporal neural network model for object recognition using a biologically plausible decision making layer	Jun 25, 2018	Decision MakingObject Recognition	—Unverified
Physics-based Scene-level Reasoning for Object Pose Estimation in Clutter	Jun 25, 2018	object-detectionObject Detection	—Unverified
Deep Global-Connected Net With The Generalized Multi-Piecewise ReLU Activation in Deep Learning	Jun 19, 2018	General ClassificationObject Recognition	—Unverified
The Toybox Dataset of Egocentric Visual Object Transformations	Jun 15, 2018	ObjectObject Recognition	—Unverified
NetScore: Towards Universal Metrics for Large-scale Performance Analysis of Deep Neural Networks for Practical On-Device Edge Usage	Jun 14, 2018	image-classificationImage Classification	—Unverified
Convex Class Model on Symmetric Positive Definite Manifolds	Jun 14, 2018	ClassificationGeneral Classification	—Unverified
Delta-encoder: an effective sample synthesis method for few-shot object recognition	Jun 12, 2018	Few-Shot Image ClassificationFew-Shot Learning	CodeCode Available
Model-based active learning to detect isometric deformable objects in the wild with deep architectures	Jun 7, 2018	Active LearningObject	—Unverified
Recurrent Convolutional Fusion for RGB-D Object Recognition	Jun 5, 2018	ObjectObject Categorization	CodeCode Available
State Classification with CNN	Jun 5, 2018	ClassificationGeneral Classification	—Unverified
A Classification approach towards Unsupervised Learning of Visual Representations	Jun 1, 2018	ClassificationGeneral Classification	CodeCode Available
Multi-View Harmonized Bilinear Network for 3D Object Recognition	Jun 1, 2018	3D Object RecognitionObject	—Unverified
OLÃ: Orthogonal Low-Rank Embedding - A Plug and Play Geometric Loss for Deep Learning	Jun 1, 2018	General Classificationimage-classification	CodeCode Available
Geometry Aware Constrained Optimization Techniques for Deep Learning	Jun 1, 2018	Deep LearningMetric Learning	—Unverified
Duplex Generative Adversarial Network for Unsupervised Domain Adaptation	Jun 1, 2018	Domain AdaptationGenerative Adversarial Network	—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